One company, Multiply Labs, has created a system to overcome these challenges by using robots and RoboDK Software.

Using Multiply Labs’ innovative approach, automated cell therapy manufacturing has the potential to significantly reduce costs while ensuring statistically equivalent outcomes to manual processes in terms of cell yields, viability, and phenotype.

This new system could bring about a new era of producing this type of therapy, surpassing the previous time-consuming manual processes, and ultimately, supporting the scalability of cell therapies for patients in need.

Let’s look at how they used RoboDK to create the system.

What Is Cell Therapy Manufacturing

Cell therapy involves growing cells in a controlled environment. These are then placed into the body to replace damaged or diseased cells or modulate the function of the patient’s cells. This therapy is at the forefront of biomedical innovation, being used to treat cancer, autoimmune conditions, and various others.

The challenge with this type of manufacturing is the need to maintain strict purity, potency, and safety throughout the complex multi-stage production process. This involves cultivation of the cells, multiplication, and processing in a controlled environment.

Some of the unique challenges of cell therapy manufacturing include:

• High complexity of both materials and process.
• Tracking and testing of cell activity and safety.
• Need for customization with patient-specific manufacturing.
• Logistical challenges involved in handling live cells.
• Scaling these biological processes to be accessible.

The promises of cell therapy are huge… but only with a reliable process for producing the cells.

Introducing Multiply Labs…

This is where Multiply Labs comes in. The company originates from a shared passion for robotics among its founders, who met at MIT.

Based in San Francisco, California, Multiply Labs specializes in developing industry-leading automated manufacturing systems to produce individualized drugs. The team combines a unique blend of mechanical and electrical engineering, software development, and pharmaceutical science.

The company believes that robotics and automation have great potential for improving patient accessibility and unlocking the scalability of these cell therapy treatments. They aim to create flexible robotic systems that are compatible with the market-leading pharmaceutical manufacturing instruments, so that manufacturers do not need to significantly change their existing processes.

Their systems are modular and can operate in parallel. This allows them to achieve high throughput, as scalability is a core concern for many pharmaceutical manufacturers.

Fred Parietti, CEO and Co-Founder says:

At Multiply Labs, we are actively developing a cell therapy robotic system, which can operate market-leading GMP instruments already widely deployed for cell therapy manufacturing. This is part of our ongoing, company-wide quest to pioneer a fully automated, end-to-end process for cell therapy manufacturing. To bring this vision to life during the development process, we use renders to showcase what we’re building.

The Robotic System for Personalized T-Cells

One of the company’s latest developments is a robotic system for cell therapy manufacturing. The company recently released a peer reviewed study showing that a robotic cell expansion process can match the performance, and reduce the cost of a manual process. 

The system leverages robotic modules, automating market-leading instruments currently leveraged for cell therapy manufacturing. Manufacturers have the flexibility to combine and mix and match robotic modules to best match their process, and they can drive high throughput via multiple parallel modules. 

Multiply Labs tested the robotic system against a comparable manual process. They found that the results were statistically indistinguishable.

Fred Parietti, the company’s co-founder and CEO, says:

We are so excited by this initial data as it opens the door to accelerating the availability of cell therapies. This data demonstrates that manufacturers can confidently automate their existing processes for cell expansion, without making significant modifications to the process itself, effectively minimizing bioprocess and regulatory risks.

With more automation, the labor cost of cell therapy manufacturing can be lowered enough to make cell therapies accessible to many more people.

The Role of RoboDK

RoboDK was a key part of creating the company’s modular robotic system. The team used it for early research, simulation creation, debugging, rendering, and various other stages of their development.

A unique aspect of how the team used RoboDK was in their rendering of the simulations, to demonstrate what Multiply Labs is trying to achieve before the physical prototype was ready.

Xiaojie Chen, robotics engineer at Multiply Labs, says:

We started using RoboDK in March 2023 and found it’s an excellent solution to help the team. The RoboDK team also rapidly solved the bugs we saw during the beta, so we are one of the first teams to use this function. The entire project was done incredibly fast, with several team members working closely.

5 Key Ways Multiply Labs Used RoboDK

RoboDK was instrumental in the team’s achievement at various stages of their development.

Here are 5 key ways the team used RoboDK:

• Early Research and Collision Prevention — The team first used RoboDK to conduct early research tests and ensure that there were no collisions between components.
• Creating Accurate Simulations — RoboDK’s ability to simulate very accurate motions was a critical factor to Multiply Labs using it.
• Rendering and Blender Export — The team wanted to create high-quality visual renderings of their simulations to demonstrate the prototype. For this, they created the models in CAD, ran the simulations in RoboDK, then exported into Blender using an Add-in for further rendering.
• Rapid Response to Feedback — One benefit to using RoboDK is that it allows smooth passing of models with other software packages. Its Blender Export function, for example, allowed the team to save a lot of time and get rapid feedback from the team.
• Education and Efficiency — The ease of learning was an essential aspect to Multiply Lab’s adoption of RoboDK. It allowed their engineers to focus on engineering rather than learning new software

Changing Pharmaceutical Manufacturing

Multiply Labs is passionate not only about robotics, but about creating a future where manufacturing of life-saving cell therapies is accessible, efficient, and reliable.

Currently, the development and manufacturing of cell therapies are exorbitantly expensive, hindering broad access to life-saving treatments. In fact, as much as 50% of manufacturing costs stem from labor-intensive manual processes and a lack of skilled workers. By employing Multiply Labs’ innovative approach, automated cell therapy manufacturing has the potential to significantly reduce costs while driving increased scalability.

What questions do you have about this? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post Transforming Cell Therapy Manufacturing: The Power of Robotics at Multiply Labs appeared first on RoboDK blog.

Simulations allow for a highly detailed and iterative approach to robot design. Engineers can test different designs, materials, and mechanics virtually, identifying the most efficient and cost-effective solutions. This process can significantly reduce the physical prototyping costs and accelerate the time-to-market for new robotic solutions.

Also, in hazardous environments like space exploration, deep-sea ventures, or nuclear decommissioning, robot simulations are crucial. They allow developers to foresee and mitigate potential risks in environments where human intervention is dangerous or impossible. This preemptive approach to safety is invaluable.

Machine Learning and AI

Robot simulation provide a rich, controlled environment for training AI algorithms. Through simulation, AI can experience a vast range of scenarios, more than what it could feasibly encounter in the real world. This intensive training can lead to more adaptable, intelligent robotic behaviors.

Simulations are ideal for testing robots in scenarios that are too complex or costly to recreate physically. This includes multi-robot systems, interactions with changing environments, or unpredictable human behavior. Such testing is crucial for developing robots that can operate in dynamic, real-world settings.

Human-Robot Interaction

Simulations enable the study and improvement of HRI. By modeling how robots and humans might interact, designers can optimize robots for better usability, efficiency, and acceptance in society. This aspect is particularly vital as robots become more prevalent in everyday life.

With the advancement of cloud computing and more accessible simulation software, smaller companies and educational institutions can now engage in robotic development. This democratization of technology fosters innovation and allows a broader range of creators to contribute to the field.

Predictive Maintenance

Simulations can model the entire lifecycle of a robot, predicting when parts might fail or require maintenance. This foresight is crucial in industries where robotic uptime is critical, like manufacturing or logistics.

Looking ahead, the integration of more sophisticated AI, augmented and virtual reality, and real-time data analytics into robot simulations could open new frontiers. Imagine, for instance, a world where simulations not only guide the design and training of robots but also become integral to their daily operation, adapting and optimizing their functions in real-time.

Robot Somulation with RoboDK

RoboDK stands as a powerful and cost-effective simulator tailored for industrial robots and their programming needs. Unlocking the full potential of your robot is made possible with the versatile simulation software provided by RoboDK.

Key Advantages of RoboDK:

The advantage of using RoboDK’s simulation and offline programming tools is that it allows you to program robots outside the production environment.

With RoboDK you can program robots directly from your computer and eliminate production downtime caused by shop floor programming.

RoboDK Products offers a variety of tools for Robot Simulation. For instance, RoboDK TwinTrack Software enables robots to learn through demonstration with your hand. Additionally, Robot Calibration enhances the accuracy of robots programmed offline and can be completed with RoboDK in less than 20 minutes. RoboDK TwinTool provides automated tool calibration for robots. You can find all RoboDK products on our website.

Ready to transform your approach to robotics? Start your simulation journey with RoboDK now.  Download your free trial here.

Join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post The benefits of Robot Simulation appeared first on RoboDK blog.

Possibly the most distinctive thing about KUKA robots is the bright orange color of many of their models. The visual appearance of KUKA robots is highly important to the company, which works in close collaboration with industrial designer Mario Selic to shape the unique designs of the robots.

In this spotlight on KUKA, we’ll look at how you can program KUKA robots easily for your chosen application.

The KUKA Story: What Sets KUKA Robots Apart

Founded in 1898 by Johann Josef Keller and Jakob Knappich in Augsburg, Germany, KUKA originally specialized in producing acetylene gas. The gas was used in both domestic and street lighting, making it more affordable than ever before.

In terms of KUKA’s robotics arm, the transformative moment arrived in 1973. The company introduced its FAMULUS robot, the world’s first industrial robot with six electrically driven motor axes.

Over the years, the KUKA has focused on application-specific robotics. For example, it pioneered robotic friction welding in 1966 and had become Europe’s leading manufacturer of welding systems by 1989.

Today, KUKA is renowned for delivering intelligent, dependable, and user-friendly robotic solutions for many application areas.

What Industries are KUKA Robots Used In?

With such a long history focusing on robotics, it’s unsurprising that KUKA robots are used in a wide range of industries.

From traditional robotic industries like automotive and aerospace to emerging industries like entertainment and filmmaking, there is a KUKA model for almost any use you can imagine.

Within each industry, there are many potential applications. For example, within the healthcare industry, there are applications in areas ranging from hospital operating theaters to pharmaceutical machinery delivery.

3 Example Applications for KUKA Robots

Whatever application you’d like to add to your business, it’s almost certain that you can find a KUKA robot that fits the bill.

Here are 3 example applications from different industries that people are already achieving with KUKA robots:

1. Film Industry Motion Control

Film production is an industry that you might not traditionally associate with robotics. However, there are some very interesting emerging applications.

KUKA offers a range of solutions for the film industry through integrators. Examples include programmable motion control systems for high-speed cameras, automatic TV camera control, and special effects.

2. Automotive Assembly and Test Systems

The automotive industry is a core industry for robotic technology. KUKA is the world’s leading provider of production systems in this industry.

Applications span the entire automotive production pipeline, from assembly to testing. As well as traditional tasks, like robotic welding, KUKA also continues to branch into new application areas, like electromobility.

3. Ecommerce Fast, Error-Free Operations

A rising application area for the last few years is the eCommerce industry. We can think of eCommerce as being like the Olympic 100-meter sprint in the world of business, demanding speed and agility.

KUKA provides a customized portfolio of solutions for eCommerce order processing, logistics, and error-free operations.

Options for Programming KUKA Robots

Whatever application you choose for your KUKA robot, it’s important to find a method of programming that helps you to deploy the robot easily and efficiently.

There are 3 main options for programming a KUKA robot:

1. Brand Programming Langauge: KRL— the primary language for programming is called KUKA Robot Language (KRL). Based on Pascal, this programming language requires a high level of robotics expertise.
2. Teach Pendant — The go-to method for many KUKA robot users is to use the teach pendant. This time-consuming approach involves manually guiding the robot through movements. The KUKA teach pendant has gone through various versions over the years, including the KRC2, KRC4, and smartPAD.
3. RoboDK — For a more intuitive and graphical approach to programming, supported by a powerful API if you need it, you can also program your KUKA robots offline using RoboDK.

With RoboDK, you program KUKA robots even without the physical robot present. You just load your chosen KUKA model from the integrated robot library. This streamlines the programming process and reduces unnecessary downtime.

Spotlight on 3 Models in the RoboDK Library

The RoboDK robot library includes an extensive collection of KUKA robots models.

At the time of writing, it includes over 180 Yaskawa models of various types, including 5, 6, and 7 DoF arms, Scara, and palletizing robots, as well as external axes.

Here are 3 models that you can find in the library:

Robot 1: KUKA KR 16 L6 2 KS

The KUKA KR 16 is a 6-axis robot that is used for tasks like dispensing and welding. It offers a 16 kg payload, 1.8 m of reach, and a repeatability of 0.1 mm.

This robot comes with a shelf mount, which can offer a greater depth in the robot’s working envelope and the ability to reach over objects.

Robot 2: KUKA KR 120 R3200 PA

The KUKA KR 120 is a 4-axis robot arm created especially for palletizing tasks. It has an impressive 120 kg payload, 3.2 m of reach, and repeatability of 0.06 mm. To support this high payload, it is very heavy with 1,075 kg weight.

This model is one of KUKA’s QUANTEC PA range, known for their speed, strength, and precision. It is also designed to operate at freezing temperatures without the need for a protective suit, making it well suited to the food processing sector.

Robot 3: KUKA KL 4000 4m

The KUKA KL 4000 is an external axis. This 4 meter, single axis mechanism can handle payloads of up to 4,000 kg. It has a consistent operation across its 4 m of reach and the repeatability is 0.02 mm.

This external axis can operate as an additional axis to a KUKA arm. Its distinct compact carriage design maximizes effective travel through its optimized motor and gear unit arrangement.

How to Program KUKA Robots Easily with RoboDK

If you want to streamline the deployment process for your KUKA industrial robot, it’s worth looking at using RoboDK for your programming.

RoboDK’s rich simulation environment makes it easy to quickly design robot programs and test them before you put the robot into production. The intuitive graphical interface allows you to quickly create robust programs while the API allows you to incorporate any advanced features you want.

To get started, download a trial copy of RoboDK from our download page and load up your favorite robot model.

Which KUKA model do you use and for which applications? Join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post Spotlight on… KUKA: How to Program KUKA Robots Easily appeared first on RoboDK blog.

FANUC is one of “The Big 4” robotics companies in the world. Catering to a wide array of industries, these Japanese-made robots are known for their adaptability, power, and ubiquitousness.

The company’s influence is far-reaching, with a notable 15% share of the Chinese industrial robot market. They are dedicated to growing the capabilities of robotic systems, investing in technologies like robotic machine learning and cloud robotics.

In this spotlight on FANUC, we’ll look at how you can program FANUC robots easily for your chosen application.

The FANUC Story: What Sets FANUC Robots Apart

Founded in Japan in 1956 by Dr. Seiuemon Inaba, FANUC has grown to become a global leader in factory automation.

The company started by producing servo motors and computer numerical control (CNC) systems. Throughout his long career, Dr. Inaba receive many honors for his pioneering achievements in creating CNC tools and factory automation.

As one of the few companies in the industry to develop and manufacture all its major components in house, FANUC robots are known for their reliability, predictability, and ease of repair. Customers benefit from lifetime product support for as long as they use their FANUC products in production.

What Industries are FANUC Robots Used In?

FANUC robots are a common sight in many industries, showing the versatility and range of their products.

The automotive manufacturing industry is a notable industry, where FANUC robots help to streamline assembly lines, improve quality control, and increase productivity. It also remains a worldwide leader in automation for CNC control systems, with solutions like its ROBODRILL and ROBOCUT.

Other industries where FANUC robots are common include electronics manufacturing, food manufacturing, and the pharmaceutical industry.

In 2021, FANUC cemented its place as a worldwide leader in robotics when it celebrated the production of its 750,000th robot.

3 Example Applications for KUKA Robots

There are FANUC robots available for almost any almost every application you can think of.

Here are 3 example applications from different industries that people are already achieving with FANUC robots:

1. Complex CNC Machining

With the company’s long history in CNC solutions, it’s unsurprising that FANUC robots are now involved CNC machining.

Robot machining is an ideal application for robots, helping you to machine intricate shapes that would be impossible with conventional CNC tools. With FANUC robots, you can achieve precise tolerances even to the nanometer level.

2. Painting Solutions

FANUC claims to offer the largest selection of painting robots in the robotics industry.

Robot painting is a hazardous task, requiring special explosion-proof robots that can handle the complex task of painting. By using a robot to paint, you can achieve a more consistent paint application, reduce waste, and increase your uptime for painting operations.

3. Laser Cutting

FANUC is pioneering in the industry with their application of laser cutting using robots. These involve using a robot to operate a laser cutting tool.

Models like the versatile six-axis FANUC M-20iB/25 robot and the 0i-LF Plus offer high cutting performance in a simple to use system.

Options for Programming FANUC Robots

Whatever application you choose for your FANUC robot, it’s important to find a method of programming that helps you to deploy the robot easily and efficiently.

There are 3 main options for programming a FANUC robot:

1. Brand Programming Langauges: Karel and TP— the primary language for programming is called Karel, a Pascal-derived programming language that requires a high level of robotics expertise. There is also TP, the language that is used in FANUC teach pendants.
2. Teach Pendant — Possibly the most common method for programming FANUC robots is to “jog” the robot using the teach pendant. This time-consuming approach involves manually guiding the robot through movements. As well as being complex to program, it also takes a lot of work to make changes.
3. RoboDK — For a more intuitive and graphical approach to programming, supported by a powerful API if you need it, you can also program your KUKA robots offline using RoboDK.

With RoboDK, you program FANUC robots even without the physical robot present. You just load your chosen FANUC model from the integrated robot library. This streamlines the programming process and reduces unnecessary downtime.

Spotlight on 3 Models in the RoboDK Library

The RoboDK robot library includes an extensive collection of FANUC robots models.

At the time of writing, it includes over 100 FANUC models of various types, including 5 and 6 DoF arms, Delta, SCARA, and palletizing robots, as well as hexapod robots.

Here are 3 models that you can find in the library:

Robot 1: FANUC LR Mate 100iB

The LR Mate 100iBz is a compact tabletop 5-axis robot that is often used for material handling tasks. It offers a 5 kg payload, 620 mm of reach, and a repeatability of 0.04 mm.

LR Mate robots come in various models, for specific target application areas. This includes food and beverage, clean room, and washproof versions.

Robot 2: FANUC SR-12iA

The SR-12iA is a 4-axis SCARA robot arm used in assembly and material handling applications. It has a 12 kg payload, 900 mm of reach, and repeatability of 0.015 mm.

This model offers high wrist inertia of up to 0.45 kgm2. This makes it particularly suitable for some assembly applications, such as battery and solar panel installations. It also comes in a 20 kg payload version.

Robot 3: Fanuc F-200iB

The F-200iB is a 6 Degrees of Freedom hexapod platform. It can handle payloads of up to 100 kg, offers 437 mm of reach and has a repeatability of 0.1 mm.

This platform is a parallel link robot and is designed for a range of manufacturing and automotive assembly processes.

How to Program FANUC Robots Easily with RoboDK

If you want to streamline the deployment process for your FANUC industrial robot, it’s worth looking at using RoboDK for your programming.

RoboDK’s rich simulation environment makes it easy to quickly design robot programs and test them before you put the robot into production. The intuitive graphical interface allows you to quickly create robust programs while the API allows you to incorporate any advanced features you want.

To get started, download a trial copy of RoboDK from our download page and load up your favorite robot model.

Which FANUC model do you use and for which applications? Join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post Spotlight on… FANUC: How to Program FANUC Robots Easily appeared first on RoboDK blog.

Offline Programming (OLP) is the process of designing, simulating, and optimizing robot tasks in a virtual environment before they are executed in the real world. This method is instrumental in pre-planning complex robotic operations, ensuring efficiency, and mitigating risks.

On the other hand, drivers in robotics are akin to their counterparts in computer systems – they are essential software components that enable communication between the robot’s control system and various external devices or software platforms. By translating high-level instructions into a language that robotic hardware can comprehend, drivers facilitate real-time interactions and adaptability.

Complex tasks

OLP primarily engages in high-level, abstracted communication through specialized software suites that allow engineers and programmers to design and simulate robotic tasks, creating a digital twin of the real-world environment. This approach enables the pre-visualization and modification of robot paths and behaviors, ensuring that complex tasks are optimized before physical deployment.

In contrast, drivers operate at a more fundamental level, acting as the real time link between the robot’s control system and the external world. They handle communication between the robot controller and other components of the industrial automation project. If combined with a remote interface such as TwinBox, robot drivers can facilitate the interaction between a robot arm and systems not normally capable of influencing a robotics project.

Environment

Offline Programming (OLP) and drivers each present their unique challenges. The setup of OLP systems involves the creation of accurate virtual models and the use of simulation tools. These models must precisely mirror the physical world to ensure that the programmed tasks are feasible when transferred to real robots. The complexity here lies not just in the technical expertise required, but also in the need for a thorough understanding of the robot’s physical and operational environment.

The complexity of developing and integrating drivers is rooted in the need for deep technical knowledge of both the robotic hardware and the software interfaces. Crafting drivers that can effectively communicate with and control a robot requires a nuanced understanding of the robot’s control architecture, sensor inputs, and actuator mechanisms.

Precision

OLP is particularly advantageous in scenarios where precision, repeatability, and safety are of the utmost importance. For instance, in manufacturing, especially in automotive and aerospace sectors, OLP is used to program complex assembly lines. Drivers shine in situations that demand real-time control and adaptability. In fields like collaborative robotics, where robots work alongside humans, the need for immediate responsiveness to environmental changes and human inputs is crucial.

Thus, while OLP is used for its ability to pre-plan and optimize robotic tasks in controlled environments, drivers are essential for enabling real-time interactions and responsiveness in more dynamic and unpredictable settings. The selection between OLP and drivers, or a combination of both, depends heavily on the specific requirements and constraints of the application at hand.

Robot Drivers with RoboDK

Any robot simulation that is programmed in RoboDK can be executed on the robot using a robot driver. The robot movement in the simulator is then synchronized with the real robot and it is possible to debug robot programs in real time.

Annin Robotics, ABB, Automata, Comau, Denso, Dobot, Doosan, Epson, Fanuc, Han’s.. are some of the supported robot drivers in RoboDK. Check the full list of robot drivers here.

The following article shows an example of an Online Programming project using robot drivers: Online Programming in Real Time

What questions do you have about robot drivers and OLP? Join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum. Also, check out our extensive video collection, documentation [https://robodk.com/doc/en/Robot-Programs.html#PostVsDriver], and subscribe to the RoboDK YouTube Channel.

The post Offline Programming (OLP), drivers and communicating with robots appeared first on RoboDK blog.

There are many features that you could use in a robot simulator. Complex physics simulation, advanced camera modeling, artificial intelligent planning… the list keeps growing as the technologies advance.

It’s always a good idea to prioritize simplicity and functionality. If a particular simulation feature is unnecessary to create your robot program, it will only hold you back from creating an efficient solution.

RoboDK has a vast range of possible features that you can use in your simulations.

Here’s a look at what they are and how you can use them…

The Need for Simplicity

When it comes to offline programming and simulation, complexity is your enemy.

If your robot simulation is filled with unnecessary elements, it will be slower to run and more likely to create problems later on. Remember that you are not trying to create a highly realistic simulation of the robot and its environment. Your aim is to create a robust robot program that achieves your production goals.

As we’ve said previously… your robot simulation doesn’t need wallpaper.

Some features are usually unnecessary in robot simulation such as some advanced physics simulations, complex lighting, and high-definition visual rendering. While these can add realism and aesthetic appeal to your simulation, they don’t help you make a more reliable robotic system.

10 Powerful Simulation Features in RoboDK

Keeping in mind the need for simplicity, what features are useful in a robot simulator?

RoboDK contains many powerful simulation features. Not all of them will be suitable for your specific application. But, used in the right way, they can improve your simulation significantly.

Here are 10 features that you can find in RoboDK:

1. Calibration With the Real World

For industrial robotics, a simulation is only useful if you can use it to program your real world robot. This means you need to be able to quickly and accurately calibrate the robot to the real world coordinate.

There is a range of calibration options for RoboDK. One is our product RoboDK TwinTool that allows you to calibrate your robot tools with an automated calibration procedure and an off-the-shelf sensor.

2. Reliable Inverse Kinematics

The inverse kinematics of a robot is the algorithm that converts your desired tool position to the robot’s joint positions. It is a vital part of any robot simulation.

RoboDK includes inverse kinematics for all our supported robots. You can customize your inverse kinematic solution to suit your specific needs.

3. Application-Specific Programming Tools

Some applications are just easier to perform when they are supported by application-specific tools. RoboDK has some powerful tools for a range of common applications.

Our WeaveGenerator is one such tool, giving you the functionality to quickly add weave patterns to your robotic welding task.

4. CAD/CAM Integration

Your chosen robot simulator will make your life significantly more useful when it seamlessly integrates with your existing software. In many robot applications, this means integrating with your chosen CAD/CAM program.

We often add support for new CAD/CAM integrations such as our recent addition of the BobCAD-CAM Plugin.

5. Collision-Free Planning

Artificial intelligence (AI) is a growing technology in many industries right now, and robotics is no different.

One useful AI feature in robot simulation is collision-free planning. This feature in RoboDK allows you to automatically generate a collision-free path for your robot between two chosen points in your workplace.

6. Gravity When Needed

Gravity simulation is not always necessary in robot simulation and sometimes can be an unnecessary complication. However, it is a requirement in some situations.

RoboDK now includes a Gravity Plugin that enables you to activate a simple form of gravity if your application needs it.

7. Real-Time Capabilities

While most users of RoboDK use it to program their robots offline in a simulation, the software also supports real time control of robots.

Our real-time plugin allows you to add this capability to your program and control your physical robot within the software itself.

8. High Speed for Complex Projects

The bigger and more complex your simulation, the slower it is to run. This can make complex projects very slow.

We have recently made improvements to RoboDK that double the speed of simulation for complex projects. This includes support for textures and GPU-accelerated rendering.

9. Realistic Camera Simulation

Graphical realism is usually not the most important functionality in robotic simulations. However, it can be more important when you are using robotic vision.

RoboDK includes several features to make your simulated cameras more realistic. This helps you to test vision functionality in simulations before testing on the real robotic system.

10. Extensive Robot Support

The final feature that really helps your programming productivity is when your chosen simulator supports a wide range of robot models.

RoboDK includes support for over 1000 robot models from over 70 different robot brands. In our extensive Robot Library includes support for various robot brands, including Omron, Techman, Fanuc, KUKA, Universal Robots, and many more.

Choosing the Right Simulator

Haven’t decided which robot simulator you will use?

How can you select the right one for your needs?

It’s important to find a simulator that makes your life easier when programming your robot rather than introducing unnecessary difficulties.

There are various steps you can take when comparing different simulators for your needs. These include evaluating your business requirements, focusing on your specific application needs, and seeking the assistance of a supportive community.

Learn about the whole process of finding a solution in our article How to Choose a Robot Simulator.

RoboDK: A Reliable Choice

With its wide array of features and capabilities, RoboDK stands out as a reliable and widely trusted robot simulation platform.

Many people in your situation are already using RoboDK for a diverse range of applications and industries.

With native support for hundreds of robot models and brands, RoboDK offers an impressive selection of simulation features to make your robot deployment as easy as possible.

What simulation features do you most need in a robot simulator? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post 10 Essential Robot Simulation Features: A Deep Dive Into the Power of RoboDK appeared first on RoboDK blog.

RoboDK, a pioneer in the world of robotics simulation and offline programming, announces its strategic partnership with Comau, a global leader in advanced automation solutions and robot manufacturer. The latest version of Comau Roboshop Next Gen software seamlessly integrates with RoboDK, making simulation more advanced.

RoboDK’s integration into Comau’s Software

This collaboration solidifies RoboDK’s presence in the OEM market, marking a significant step as an embedded solution. Comau users can now enjoy the benefits of RoboDK directly due to RoboDK’s integration into Comau’s Roboshop Next Gen software suite. This integration allows users to easily simulate and program robots using advanced CAD to path features, import 3D Models, detect collisions, integrate with external axes such as turntables and linear rails, support multiple robot cells in the same project, improved integration with CAD/CAM software and use advanced simulation features such as conveyors and grippers. This allows Comau robot programmers to easily use Comau robots for advanced manufacturing applications such as robot machining or 3D printing.

Realistic Robot Simulation (RRS)

In addition to these technical benefits, the collaboration also introduces support for Realistic Robot Simulation (RRS), providing accurate path and cycle time estimates. This advancement aims to provide businesses with a clear understanding of robot behavior and precise cycle time details, ensuring more efficient and optimized robot operations. Using RoboDK it will therefore be possible to create a program in a very intuitive way. Then through Roboshop Next Gen, it can be executed in a simulation with a Virtual Control and then deployed on a real robot!

While this partnership marks a significant step for embedded solutions, RoboDK remains committed to its ongoing collaboration efforts with various partners, reinforcing its dedication to make automation more affordable across industries.

Phillip from the RoboDK team shares his insights on the collaboration:

By working closely with Comau we were able to improve our integration with Comau robot controllers while keeping everything backwards compatible. The level of integration resulting from this partnership is immensely beneficial for all Comau users.

Albert Nubiola, CEO and Founder of RoboDK, comments:

We’re excited to partner with Comau and bring RoboDK’s advanced simulation features to Roboshop software at an unbeatable price. By working together, we were able to make advanced simulation more affordable. Our mission is to build a software platform where users can program any robot arm using the same software, democratizing robot simulation and programming. Partnering with Comau, one of the world’s premier robot manufacturers, marks a pivotal moment for us.

RoboDK distinguishes itself by embracing modern technologies, thus setting itself apart from peers reliant on older and more expensive software frameworks. With modern tools, integrations, competitive pricing, and an array of complementary features—including advanced CAD to path features, integrations with CAD/CAM software, collision checking, singularity avoidance, robot calibration and brand-agnostic offline programming—RoboDK stands out as a frontrunner. Users have access to extensive documentation and libraries at no cost. Moreover, RoboDK’s website, documentation and YouTube channel offers a rich collection of tutorials.

Alessandro Piscioneri, Head of Product and Solutions Management, remarks:

Comau has recently launched the latest version of RoboShop Next Gen, that allows our customers and partners to program our robots and simulate their functionalities in an easy and fast way. Thanks to the collaboration with RoboDK, a truly innovative company in robot programming and 3D simulation, it is possible for companies to create their virtual environments and simulate their applications in a matter of minutes, while using Comau’s software. It’s important to emphasize that this solution is aimed at both experienced and new programmers, in an effort to make robotics easier to design and use. This is a priority for us and we are investing heavily in this direction.

About RoboDK

Founded by Albert Nubiola in January 2015, RoboDK is a spin-off company from the prestigious CoRo laboratory at ETS University in Montreal, Canada. Designed to bring robust robotics simulation and programming capabilities to various sectors, RoboDK supports over 900 robots from more than 70 manufacturers.

About Comau

Comau, a Stellantis company, is a worldwide leader in delivering sustainable advanced automation solutions. With 50 years of experience and a global presence, Comau is helping companies of all sizes in almost any industry leverage the benefits of automation. Backed by a continuous commitment to designing and developing innovative and easy to use technologies, its portfolio includes products and systems for vehicle manufacturing, with a strong presence in e-Mobility, as well as advanced robotics and digital solutions to address  rapidly growing markets in industrial sectors. The company’s offering also extends to project management and consultancy. Through the training activities organized by its Academy, Comau is committed to advancing the technical and managerial knowledge necessary to face the challenges related to automation and leverage the opportunities of a constantly changing marketplace. Headquartered in Turin, Italy, Comau has an international network of 5 innovation centers, 5 digital hubs, and 12 manufacturing plants that span 13 countries and employ 3,700 people. Together with its wide network of distributors and partners, the company is able to respond quickly to the needs of its customers, no matter where they are located throughout the world.

Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post RoboDK and Comau partner to offer improved Robotic Simulation and Offline Programming appeared first on RoboDK blog.

In the constantly developing food and beverage industry, companies are always looking for new ways to keep up with the pace of technology. People are looking for ways to reduce the chasm between online convenience and the physical restrictions of production and delivery of products.

Robotics in this industry is growing at an impressive speed. Food and beverage industry automation increased 25% between 2020 and 2021.

As in many industries, the Covid-19 pandemic further sped up growth as companies looked for ways to minimize human contact.

One project from an aerospace AI team used RoboDK to propose a solution for automated juice production…

Introducing ROBOTTLE…

The ROBOTTLE project, led by Ahmed Tamer and Omar Abdelaziz, the project’s mission is to pioneer the integration of advanced technologies into the food and beverage industry through robotics and AI.

By focusing on juice production, the team aims to empower businesses and employees to add more creativity and better customer service to their operations.

A Service-Optimized Robot Juice Maker?

Imagine waking up early in the morning, the sun’s light pouring through your window…

You go to your local juice shop for a rejuvenating juice or smoothie, fully expecting you will have to stand in a long queue while you wait for your drink.

But, instead of a long wait, you see that the workers in the shop are working with impressive speed and efficiency. Behind the counter, a robot juice maker operates alongside the humans, helping them to deliver custom-made juices quickly.

ROBOTTLE is a proof of concept to show this vision to the world. By using existing robotic hardware and programming through RoboDK, Ahmed Tamer’s team aims to help juice shops, cafes, and restaurants to adopt automation quickly and easily.

Such a system can benefit shops in several beneficial ways, including improved personalization, efficiency, and consistency.

Tamer explains: “The ideal users of this feature are those who not only dream and design but also yearn to witness their creative visions come to life, seeing their handiwork function seamlessly and effectively in real-world scenarios.”

The Team’s Robotic Setup

ROBOTTLE uses combines a selection of robotic hardware and software technologies to create an automated juice-making system.

The key hardware components of the system include:

• The Kassow KR0810 robot as the core autonomous element. This lightweight and compact 7-axis robot has a reach of 850 mm and a payload of 10 kg.
• Semi-autonomous juice-making machines.
• Sensors and end-of-arm tools to detect and manipulate the ingredients.
• A mobile phone with the system’s app.

The key software components of the system include:

• RoboDK to simulate and program the system.
• Shaper3D CAD software to model the components.

Making the Public Part of the Journey

A challenge that the team faced was how to make the public and end users an integral part of their journey.

The goal wasn’t just to create a functional juice-making robot… the team wanted to help people be more creative with their juice creations.

Tamer says:

“We believe in the power of inclusivity and wanted everyone to witness the mechanics of how our robot functions. Our vision is to seamlessly integrate innovation and technology in the food and beverage industry by helping juice stores, as a first step, to reach the global community.”

To achieve this, the team prioritized their system’s ease-of-use.

The operation of the application is very straightforward. The user simply selects their personalized drink order using the phone application. Then, the robot gets to work. In less than a minute, the drink is ready!

How They Used RoboDK

RoboDK played a crucial role in the project and animating the team’s vision. By using the RoboDK Python API, they could combine the kinematics and dynamics of the robot with their user-friendly interface.

Tamer explains:

“Having worked with various robotic software platforms, I found that RoboDK’s user-friendly interface brought us closer to bringing ROBOTTLE to life.”

The application used Shapr3D to intricately craft the components of the system.

From here, RoboDK’s impressive compatibility of CAD software components came into play. It allowed them to seamlessly import these components, using standard CAD file formats, into the robotic simulation. From here, programming the robot was a simple task.

As a result, RoboDK was not merely a tool, but a vital component in the project’s success. It bridged the gap between conceptualization and realization of the team’s vision.

Future Plans

ROBOTTLE’s journey to create a robust juice-making robot doesn’t end at simulation.

Tamer and the team are working on various aspects of the deployment.

A recent development includes the development of a cleaning procedure, helping to keep all components of the system in sanitary working order.

The team has also ventured into robotic coffee making, building on the same techniques and ideas they have explored with juice making.

Users and members of the public remain at the very center of their operations.

As the team announced recently:

“We want to extend our thanks to the amazing people, pioneers, innovators, and visionaries who showed us support. Your confidence in our mission fuels our innovation and drives us forward. We are excited about what we will continue to achieve together and thank you for believing in us.”

What aspects of food and beverage production could you automate? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post Tech Innovation for the Juice Industry: A Case Study on ROBOTTLE appeared first on RoboDK blog.

But programming welding robots can be a challenge, especially when you don’t have experience deploying and using robots.

Enter the new Welding Add-in for RoboDK!

Our new Add-in makes programming your welding task easier than ever before. With a few simple steps, you can set up powerful welding programs by setting a few simple parameters.

Here’s what you can expect from the Welding Add-in and how you can get the most from it…

The Need for Simpler Robotic Welding Programming

According to a US figures, there was a need for around 375,000 welding professionals to fill job openings in 2023. But, finding these professionals is becoming an increasingly tough job for manufacturing companies.

There is a severe shortage of welding talent in many countries right now. We can attribute this to factors such as the aging workforce, deindustrialization, and a preference for knowledge-based work among young adults.

The impact of this shortage is putting a strain on many companies. It leads to longer lead times for work, production problems, and higher manufacturing costs for businesses.

Adding robots to your welding process can help to bridge the gap left by the lower number of human welders. However, the problem is that most welding professionals have little to no experience with robots.

Human expertise is vital for creating an automated welding process. But welders might struggle to work with robots even when they are keen to learn.

This is why easy programming options are so necessary.

7 Key Features of Welding with RoboDK

When combined with RoboDK, the new Add-in offers some valuable features to help you quickly set up a powerful welding task.

Here are 7 key features you can use:

• Welding Simulation — Welding is an extremely common task, particularly in the automotive industry. RoboDK’s capabilities allow you to create precise, technologically adequate and collision-free welding trajectories.
• Component Simulation — RoboDK allows you to load your robot as well as all the other components of your application into the simulation environment. You can also create other shapes with the Shape Add-in.
• Trajectory Planning — The Add-in helps you create collision-free paths between subsequent points in your welding task. You can simply use the collision detector or you can autogenerate new trajectories using our AI planner.
• Predefined Weld Profiles — You can create multiple welding profiles for different welding tasks with predefined modes and visualization settings.
• Add Custom Code Instructions — Making changes to your program to suit your specific setup is very easy when you add custom code instructions.
• Cycle Time Estimation — An extremely useful feature of RoboDK is that it can estimate the cycle time for a particular task, helping you to continuously improve the efficiency of your program.
• Robot Program Generation — While simulation alone can be useful for planning your robot program, the real power of RoboDK comes when you use it to generate your robot program. When it’s set up with your specific robot model, you can do this at the touch of a button.

These features — and many more within RoboDK — offer a robust robot programming interface for your welding tasks. Additionally, RoboDK’s integration with gantry systems from Lucas France enhances its capabilities further.

How to Use the New RoboDK Welding Add-in

To use the RoboDK Welding Add-in, first ensure that you have the core software properly installed and running on your device.

You can get the latest version of RoboDK from our download page

Then complete the following steps to start your welding application:

1. Start by downloading the Add-in for free from our Add-in Marketplace. You can also load it directly in RoboDK by activating the App Loader.
2. Load the necessary models, robots, and tools into your simulation. Remember that you don’t need to include all objects from your robot’s physical environment. Only include those components that will affect the welding task.
3. Set up your tool (TCP) in RoboDK with the welding gun. There are several of these models in the Robot Library, or you can use your own
4. Create toolpaths and use the Welding Add-in to add specific welding commands.
5. Simulate the robot program and identify which aspects of your application needs improvement.
6. Double-check for any collisions that may have been generated using RoboDK’s collision detector.
7. Generate the robot program and send it to your welding robot.
8. Test the generated welding program on your robot. Note any changes you need to make to your program and update them within RoboDK.
9. When you have debugged the program fully, you can put the welding robot into production.
10. Plan to come back to your robot application after some time to see which aspects of the welding task you can improve.

These are just the overall steps to using the Welding Add-in. For a more detailed tutorial, go to our dedicated page on the documentation site

What You Can Expect With the New Add-in

If you are using robotics to improve your welding application, the new Add-in could be a game-changer.

If you are already an experienced user of RoboDK, you can expect to increase your productivity when programming welding tasks. This can help you reduce the time to program a new welding procedure and have more ways to improve existing welding.

If you are new to RoboDK and welding is your first robotic application, the Welding Add-in will help reduce the time and effort you take to get used to robot programming. With this application under your belt, you can then create even more impactful applications.

Which welding tasks would you like to automate? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post RoboDK Welding Add-in: Sparks are Flying with our New Feature appeared first on RoboDK blog.

At RoboDK, we have long celebrated the advantages of robot welding. Robots can help counteract many common challenges of welding, including skills shortages, weld quality, and consistency.

With the right robot and programming software, you can move to an automated welding process even if you have little to no robotics knowledge. But there are various decisions you need to make, including what type of robot welding you are using.

Let’s look at why we would use robot welding and explore some common types.

Where Are We At With Robotic Welding?

Over the years, robotic welding has undergone significant advancements both in technology and demand. It has been propelled from simplistic, repetitive welding tasks to complex, high-precision operations.

From the development of sophisticated robot sensors and algorithms to easy-to-use programming options that reduce barriers to entry, robot welding is now more accessible than ever.

A huge driver for robot welding is the presence of skills shortages within the job market. This is becoming a significant problem across the world.

Countries are implementing radical changes to combat the shortage, including refocusing goals of STEM education and investing in apprenticeships. However, these are longer term solutions.

Robots offer an immediate and powerful approach to combat welder shortages. They help you get the most from your existing skilled welders.

Benefits of Robotic Welding Over Manual

Robotic welding also brings many benefits over entirely manual welding.

Some benefits include:

• Improved weld quality — Robots can produce higher-quality welds than human as you can program the weld pattern exactly.
• Safer working — Welding can be a dangerous task for human workers. Moving it to a robot reduces the chances of danger for workers.
• Flexibility — With an intuitive programming interface, you can easily reprogram your robot for any new task.
• Consistent welds — A robot will reproduce the same weld pattern every time, making it more consistent than a human welder.
• Better use of talent — With only a few skilled welders on your team, you can use robots to scale your welding operation with a surprisingly short training time

With such benefits, it’s well worth finding out if robotic welding could work for you!

8 Common Types of Robot Welding You Might Use

There are various types of robotic welding, each suited to slightly different applications or setups.

Which you choose will depend on your specific needs. However, you can program all of them using RoboDK.

With the right robot and programming software, you can transition to an automated welding process even if you have little to no knowledge of robotics. However, there are various decisions you need to make, including what type of robot welding you are using. Offline Programming (OLP) is considered the best option for complex modern welding projects.

Let’s explore why robot welding is beneficial and delve into some common types.

1. Resistance Spot Welding

Resistance welding involves passing a strong electric current through two pieces of metal. This heats and melts the metal, forging the two pieces together.

Resistance spot welding, specifically, involves welding individual spots instead of a continuous line of weld. You would use a spot welding tool as the robot’s end effector.

2. Laser Welding

Laser welding uses a concentrated beam of high-energy light to melt and fuse the materials together. This method is highly precise and can be used to weld small, complex parts.

Robotic laser welding is often used in industries like electronics and medical device manufacturing.

3. Hybrid Laser Welding

Hybrid laser welding combines laser light welding with arc welding. This method provides the deeper penetration of the laser welding with the superior gap bridging abilities of arc welding.

Robotic systems for hybrid laser welding are particularly useful for applications that provide high production speed and accuracy.

4. Shielded Metal Arc Welding (SMAW)

Shielded metal arc welding, or stick welding, uses a flux-coated electrode to create the weld. This method is known for its versatility and can be used on a variety of metals and alloys.

Robots using SMAW can benefit from adding image recognition to detect and repair cracks in the material.

5. Gas Tungsten Arc or Tungsten Inert Gas Welding (GTAW/TIG)

A highly common welding process, GTAW or TIG welding, uses a non-consumable tungsten electrode and a shielding gas to produce the weld. This method is known for producing high-quality, clean welds with an excellent aesthetic finish.

Robotic welding of this type is often used where weld quality is critical, such as aerospace and nuclear power plants.

6. Thin Gauge Arc Welding

Thin gauge arc welding is typically used for welding thin sheets of metal. This can introduce challenges, as thinner material requires a delicate approach.

When programming your robot welding, it may be a good idea to do extra physical testing to ensure the thin material doesn’t warp.

7. Plasma Welding

Plasma welding uses a constricted arc or plasma jet to melt the metal, creating a more focused, controlled weld. [It is related to TIG welding].

In the robotic tool, an electric arc forms between a tungsten electrode and the material, with a plasma gas to stabilize the arc and prevent oxidation.

8. Metal Inert or Active Gas (MIG/MAG) Welding

Finally, MIG or MAG welding are forms of gas metal arc welding that use continuously fed wire and a shielding gas.

Robotic MIG/MAG welding offers speed, efficiency, and adaptability, making it widely used across industries.

How to Program Robot Welding More Easily

Robotic welding has become an essential tool in various manufacturing industries. However, proper programming plays a pivotal role in ensuring its success. Let’s see some key considerations for programming robot welding more easily.

• Choosing the Right Robot and Software: Before you start programming, it’s essential to select the appropriate robot and programming software for your welding application. Ensure that the robot you choose meets the specific requirements of your welding project.
• Offline Programming (OLP): Consider using Offline Programming (OLP) for complex modern welding projects. OLP allows you to program and simulate your robot’s movements and welding tasks in a virtual environment, reducing the risk of errors during actual welding operations.
• Welding Cobots: In addition to OLP, welding cobots (collaborative robots) can simplify welding for end-users. These robots can work alongside human operators, offering increased flexibility and ease of use.
• Feedback and Synergic Functions: Modern welding sources provide valuable feedback on the welding process. They incorporate “synergic” functions that ensure stable weld quality. This feedback mechanism helps maintain consistent and high-quality welds, reducing the need for constant adjustments.
• Precise Calibration: Achieving the highest accuracy in weld position is crucial. Precise calibration of the welding cell and the use of machine vision systems can help ensure that your robot welds with exceptional accuracy

A good place to start is with a programming environment that supports robotic welding. Read more in our article The Simple Way to Flawless Robot Welding

What types of robot welding would you like to use? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post 9 Types of Robot Welding: A Breakdown of Common Types appeared first on RoboDK blog.

A digital twin is a virtual replica of a physical system. It allows you to make better informed strategic decisions about your automation system, helping you to detect and iron out problems long before they become a major problem.

By combining state-of-the-art robotic technology and neural reconstruction, the researchers brought more precision and efficiency to the 3D modeling.

Let’s look at how the team at Dubai’s Robotics Lab used RoboDK to create their innovative system.

Digital Twins: The Future of Robotics

What is a digital twin?

In robotics, a digital twin is essentially a virtual model that closely replicates a physical robotic system.

This model is as detailed as it needs to be for the task at hand — it need not be a hyperrealistic simulation. For example, it will certainly include the kinematic and physical properties of the robot itself. It will also include other components that are important for the robotic task, such as sensors, end effectors, and task objects.

The use of digital twin technology holds tremendous potential. In manufacturing, a digital twin of a robotic arm, for instance, can help you optimize your production processes, identify bottlenecks, and predict maintenance needs without disrupting the robot’s productivity.

RoboDK is a popular platform for digital twin creation. For example, previous research from Western Washington University involved creating a simulated changeable learning factory and connecting it to the physical system to create a digital twin.

Introducing… Dubai’s Robotics Research Lab

The Robotics Research Lab is situated within the Dubai Institute of Design and Innovation. Led by researcher Raffi Tchakerian, this cutting edge facility is committed to pushing the boundaries of robotics and advanced manufacturing.

Tools like RoboDK have been instrumental in advancing research and student projects at the Dubai Institute of Design and Innovation into realms traditionally dominated by seasoned engineers. From 3D printing with sand to bio-printing garments on pre-existing 3D objects, RoboDK stands out as a pivotal enabler in our journey, explains Raffi Tchakerian

As part of the lab’s FabLab setup, Tchakerian’s research team uses a KUKA robotic arm to develop solutions and ideas for advanced manufacturing automation.

In this latest project, the researchers aimed to improve digital twin technology by combining their industrial robot with the latest in neural reconstruction technology.

The Setup: KUKA KR 150 Robotic Arm, Jetson and RoboDK

The aim of this research project was to see how neural reconstruction technology can improve digital twin creation.

To achieve this, the research team used the following hardware and software components:

• KUKA KR 150 Robotic Arm — At the core of the project is the lab’s KR 150 industrial robot. In a variety of manufacturing and other industrial settings, manufacturers and other industries use this 6-axis robotic arm.
• Intel RealSense D435i camera — An off-the-shelf depth camera that combines robust depth sensing with inertial measurements to create point cloud data.
• NVIDIA Jetson Nano — The Jetson is a single-board, AI-powered computer system targeted at embedded applications. We have a version of RoboDK specially designed to run on Jetson boards, opening up a world of new possibilities for AI-powered robotic solutions.
• RoboDK — Finally, the software for the team’s project was based on RoboDK. This widely used robotic offline programming and simulation software is ideal for digital twin creation and already includes the KR 150 in our extensive Robot Library.

The Role of NVIDIA’s Neural Kernel Surface Reconstruction (NKSR)

An important part of the project was NVIDIA’s Neural Kernel Surface Reconstruction (NKSR) technology.

This cutting edge set of algorithms helps to generate highly detailed and accurate 3D meshes from large-scale point clouds of noisy location data.

NKSR technology can scale to large scenes, handle noise, and minimize training requirements. It can reconstruct millions of points in seconds, even when the scan data is messy.

The team used this technology to clean up the point cloud data captured from the RealSense depth camera. These data points were then fed through the NKSR algorithm to create clean models for use with the robotic digital twin.

How the Setup Works

The researchers’ system operates with the following process:

1. The Intel RealSense camera captures a rough 3D model of the scene, creating a point cloud of data.
2. This point cloud is captured by the Jetson Nano board.
3. Each frame of 3D data is synchronized and transformed into a refined point cloud using the Open3D library.
4. An initial mesh representing the scanned object is generated and sent to RoboDK.
5. RoboDK then accurately positions this mesh within the simulated robot scene.
6. The mesh is then further refined using the NKSR algorithm.

This process shows the immense potential for integrating off-the-shelf imaging technology with advanced neural reconstruction for digital twins.

Advancing 3D Modeling with Robotics and Neural Reconstruction

What is next for this type of neural digital twin technology?

The researchers from the Robotics Research Lab showed how you can create powerful simulated digital twins using simple components. Many industries could use this type of setup, from aerospace to pharmaceutical manufacturing.

This project also shows how accessible advanced neural processing algorithms are becoming. With technologies like the NVIDIA Jetson Nano and NKSR algorithms, you can now access powerful functionality in an easy-to-use setup. And with RoboDK, you can seamlessly integrate this functionality with your industrial robot.

If you are looking for a way to integrate your robot with advanced algorithms, this case study is a powerful example of what is possible.

What questions do you have about RoboDK? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel.

The post Robotic Digital Twin and Advanced Neural Construction: A Perfect Blend with RoboDK appeared first on RoboDK blog.

Robot simulation software company, RoboDK, recognized the need for a more compact and versatile solution that doesn’t rely on conventional computers. Following customer demand for such a product, they created TwinBox. This self-contained system offers a full suite of features that enable users to easily set up and manage robotic systems in their workspaces using a simple single-board computer or IPC.

TwinBox can be easily controlled through a web browser, allowing you to trigger actions remotely and have a 3D view of your cell.

Dmitry Lavygin, software developer at RoboDK, says:

RoboDK is already able to run programs directly on real robots using its online mode and robot drivers. However, it is not common to see desktop or laptop computers in production environments.

The goal with TwinBox is to provide a dedicated version of RoboDK for industrial computers and enable remote control on embedded devices, without the need of a local display, keyboard, or mouse. You can simply control the system remotely from anywhere, using your browser or another remote RoboDK connection.

The need to minimize clutter and save space with production robots

The team at RoboDK conceived TwinBox after identifying a gap in the market – there were no space-efficient solutions for production engineers wishing to directly implement RoboDK into the production line. The product’s compact size offers the advantage of easy positioning – it can be installed either next to or within the factory robot’s control system.

A key feature of the TwinBox is its ability to function effectively without the need for a mouse, keyboard, and monitor. It solely requires network interfaces to seamlessly connect to an internal network and a robot control system.

This allows users to save more of their valuable floor space while still being able to utilize the full suite of features that RoboDK has to offer.

TwinBox is an all-in-one solution for robot programming and automation engineers, with many benefits including its compact size, low cost, easy setup, and versatility.

Remote robot programming built on reliable technologies

RoboDK’s approach to product development is to build new solutions on the back of tried and tested technologies, where possible. This means the company can deliver high-quality remote robot programming solutions without compromising on reliability or stability.

With TwinBox, RoboDK has crafted a reliable system that runs on both industrial and consumer-grade hardware. It supports multiple operating systems and hardware architectures, including Windows and Linux Debian or Ubuntu running on Intel x86-64 platforms or ARM. RoboDK provides dedicated builds for systems such as the Nvidia Jetson or Raspberry Pi-based industrial computers.

Samuel Bertrand, software developer lead at RoboDK, says:

The software works just like the Desktop version of RoboDK. The main difference is that the system can be controlled remotely from any browser.

With its remote interface, users can also access their TwinBox from anywhere in the world, with full control of all connected external robots, devices, and sensors. This allows users to monitor their robots remotely, in real-time, giving them more flexibility and control over their automation than ever before.

Streamlining Multiple Devices into One Cohesive System

A common challenge with industrial robots is that each programming solution is often limited to a single manufacturer. This means that each robot brand needs to be programmed separately, which slows down deployment.

With TwinBox, users can connect multiple robots from different manufacturers together into one cohesive system. This increases flexibility and significantly speeds up the integration process.

RoboDK supports over 900 robot models from over 50 brands. This wide compatibility means that users can be sure that their TwinBox will work with almost any robot model they need it to. The system is also designed to effortlessly handle simultaneous connections from various devices. This includes not only robots but also additional devices like external sensors and computer vision cameras.

TwinBox enables simultaneous connections, allowing you to control it from a remote desktop with a browser. It also “supports” OPC-UA and RoboDK will be implementing other industrial protocols.

Future plans

The company plans to incorporate TwinBox into the larger RoboDK ecosystem. This includes existing solutions like the main RoboDK Desktop application as well as web-based development tools like RoboDK for Web.

This integration will enable users to take full advantage of all the features that have made RoboDK such a popular robot programming software among automation engineers.

The potential applications for TwinBox are virtually endless. The company hopes that users will take full advantage of the product to easily build efficient robotic solutions that can be easily deployed in production environments.

What questions do you have about RoboDK TwinBox? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel.

The post Introducing TwinBox: RoboDK’s Compact Solution for Production Robot Integration appeared first on RoboDK blog.

In this article, let’s delve into the world of Digital Twins and explore how they are reshaping offline programming, ensuring precision, safety, and efficiency in robotic applications.

Defining Digital Twins

Before we dive into the advantages, let’s demystify Digital Twins. They are sophisticated virtual models that simulate the behavior and characteristics of physical entities, be it a robot or an entire production line. These twins are not mere static replicas but dynamic simulations capable of mimicking real-world scenarios with remarkable accuracy.

One of the significant advantages of Digital Twins in robotic programming is the ability to safely visualize and test various scenarios in a controlled and accurate virtual environment before implementing them in the real world.

Digital Twins in robotic programming can be understood through two primary lenses:

1. Modelling and Simulation: A Secure Rehearsal Space

Modelling and Simulation represent offline programming where code is generated from a virtual model without real-time interactions. It acts as a secure rehearsal space for robots.

2. Real-time Monitoring: Bridging the Virtual-Real Divide

Real-time Monitoring, with tools like TwinBox, enables online communication, allowing immediate feedback between the real and virtual robots.

Benefits of Digital Twins

Digital Twins are pivotal in optimizing offline robotic programming, offering opportunities for innovations, safety, and accuracy in visualizations and applications. By leveraging the potential of Digital Twins, industries can stay ahead in the competitive landscape. They can navigate complex systems with enhanced insights and reliability. The future promises substantial opportunities for advancements and applications of Digital Twin technology in robotic programming. Driving industries towards unprecedented levels of operational efficiency and excellence, Digital Twins also allow programmers and operators to identify potential issues, optimize robot performance, and safeguard both the robot and its environment. Such foresight is vital to prevent expensive errors and system downtime, enhancing the reliability of robotic systems. Furthermore, the improved accuracy of these simulations minimizes the need for fine-tuning paths.

The amalgamation of rich data and detailed simulations empowers engineers and programmers to innovate and enhance robotic applications. The interaction between virtual and real-world data provides profound insights. Improving operational efficiency, enabling predictive maintenance, optimizing resource allocation, and fostering the development of innovative solutions, ultimately enhancing product quality and customer satisfaction.

Transition to the Real World

Builders can create precise virtual models of real robotic cells, enabling them to make necessary adjustments directly in this environment before implementing them on the robot. This ensures synchronization and a seamless transition between the simulated and real worlds. The precision in adjustment and direct communication between the digital twin and the actual robot ensures that every concept developed within the simulation can be accurately translated into the real world, allowing for real-time interaction and consistency.

RoboDK software is at the forefront of exploiting Digital Twins for detailed simulation and offline programming of robots. Facilitating the simulation of complex structures, from entire factory layouts to individual cells, right from a computer. The software also allows for the seamless creation of comprehensible instructions. Ensuring accurate replication of simulations on robots, thus mitigating risks, and promoting safety by providing a platform for testing and visualizing different situations.

Conclusion: the Future of Robotic Programming

In conclusion, Digital Twins are pivotal in optimizing offline robotic programming. Industries that leverage this technology gain a competitive edge by navigating complex systems with enhanced insights and reliability. As we look ahead, the future promises even greater opportunities for advancements and applications of Digital Twin technology. Driving industries toward unprecedented levels of operational efficiency and excellence.

Ready to harness the power of Digital Twins with RoboDK? Take the first step towards revolutionizing your robotic programming and visualization processes today. Download RoboDK’s Trial License to learn more and start your journey towards enhanced robotic programming.

What questions do you have about Digital Twins? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel.

The post The Digital Twins Advantage: Offline Robot Programming and Visualization appeared first on RoboDK blog.

One of the core aims of RoboDK is to make robots as easy to integrate as possible. Part of this means providing the tools so that your software tools all work nicely with your industrial robot.

The challenge comes when you are connecting various software tools together. Rather than a smooth integration, you end up having to piece together your own connectors and processes… which is very inefficient.

But, with the right tools and approach, automation integration can be easy.

Why Automation Integration of Software Is Challenging

It can be hard to integrate multiple software tools to create a smooth workflow.

Different software packages are often simply not designed to work together. This problem can become particularly difficult if some robot vendors don’t prioritize inter-compatibility – for example, if they want you to buy their products.

Examples of the problems that can arise when integrating different systems include:

• The requirement for you to create custom connectors to bridge between incompatible software through their APIs (which may or may not be stable).
• Difficulties in maintaining and updating software, as one new update could break your whole system.
• Security risks caused by inexpert linking of different systems.
• Complicated programming caused by complex software dependencies.

All of these challenges, and more besides, can make it extremely difficult to integrate your automation software components.

But, it doesn’t need to be like this…

3 Benefits of Using RoboDK to Integrate Your Automation Software

RoboDK offers many advantages for integrating your automation components. When used for integration, it provides a powerful tool that acts as a link between your existing software workflow and your physical robots.

Here are 3 benefits you can get with RoboDK:

1. Easy Setup and Configuration

RoboDK is simple to use, even if you have never programmed an industrial robot before.

Everyone’s automation setup is often slightly different. This is why we provide a lot of configuration options, helping you to integrate the various aspects of your workflow.

2. Advanced Programming Tools

The apparent simplicity of the RoboDK software doesn’t mean a lack of functionality. There are many advanced features once you are familiar with the basics.

There is a huge range of advanced tools, including artificially intelligent trajectory planning and complex welding pattern generators.

3. Cost-effective Interoperability

Some of the other robot programming tools can be surprisingly expensive and restrictive. As many are vendor-specific, they lock you into a particular software ecosystem.

At RoboDK, we pride ourselves on making interoperability one of our core drivers and providing that in a cost-effective package.

Types of Software Compatible With RoboDK

Many types of software can make up an automation workflow.

What types of software are compatible with RoboDK? Almost any type!

Thanks to RoboDK’s powerful API, App Loader, and plugin functionalities, you can integrate a huge variety of hardware technologies and software packages with your robot.

Examples of software you can integrate with RoboDK include:

• Computer-Aided Design (CAD) software
• Computer-Aided Machining (CAM) software
• Programmable Logic Controllers (PLCs)
• 3D printing packages
• Machine learning and other software packages
• Cameras and other sensing hardware
• And many more…

Even if you come across a technology or software library that nobody has ever integrated with RoboDK before, posting a quick question on RoboDK’s forum is a great way to find a practical answer quickly.

The Most Popular Integration: CAD/CAM and RoboDK

What type of software do people most often integrate with RoboDK?

Most likely, it’s CAD/CAM packages. This makes sense as people tend to design their products in computer design packages and want to send them to their robot simulation.

You don’t want to have to change your CAD/CAM package just to be able to use robots… and you shouldn’t have to!

For this reason, RoboDK has created a selection of different plugins for some of the world’s leading CAD/CAM tools. With these plugins, you can seamlessly connect your robot to your existing software. This significantly helps to streamline your workflow.

10 Incredible CAD/CAM Packages Compatible with RoboDK

Whatever CAD/CAM package you use, there is a way to integrate it with RoboDK.

The simplest way is to export using standard CAD files. However, our native plugins make this integration even easier.

Here are 12 incredible tools that RoboDK has seamlessly integrated for you:

• BobCAD-CAM – Used by many machinists across manufacturing industries, this is a powerful mechanical design and machining software.

• FeatureCAM – The main purpose of this powerful software is to automate your programming workflow when designing NC code.

• Fusion 360 – This online tool from industry leader Autodesk is a highly popular CAD/CAM tool.

• hyperMILL – This machinist-targeted tool offers a vast array of functionality for common machining applications.

• Inventor – This superstar software is one of the most used CAD/CAM tools in the world.

• Mastercam – This is a very popular, high-end, and functionality-rich package for engineers and machinists.

• MecSoft – This CAM software is know to be powerful, affordable and easy-to-use.

• Onshape – This is the world’s fastest-growing cloud-based CAD system.

• Rhino – This software has the unique ability as a highly accurate freeform surface modeler.

• RhinoCAM – This is itself a plugin for the very popular freeform modeling tool Rhino.

• Siemens Solid Edge – This popular software from Siemens PLM is designed to be affordable, easy to use, and able to handle large assemblies.

• SolidWorks – This has become the most popular CAD software in many industries.

If you are using one of these tools, you can immediately get started integrating with robotic automation by simply downloading the associated plugin.

How to Get Started With Automation System Integration

It’s true that automation integration can be challenging.

However, when you have RoboDK handling the complex software integration steps, your job becomes much easier.

Whether you are using one of these native CAD/CAM plugins, or integrating your software through one of the various other methods, automation integration doesn’t have to be difficult.

Which automation tools would you like to integrate with your robot? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post Automation Integration Made Easy: How to Use RoboDK with Your Software appeared first on RoboDK blog.

Roboguide can be a suitable solution for some people. It comes directly from FANUC so it can seem like the most “obvious” choice for offline programming.

Offline programming is an important step when working with industrial robots. It allows you to program and test your robot without disrupting your production. There are many benefits of offline programming.

Roboguide does offer these benefits… but it is not the only option available on the market. If you only consider Roboguide and don’t look at the alternatives for offline programming, you could miss some opportunities to improve your robot programming even further.

Here’s a clear introduction to Roboguide…

What is Roboguide?

Roboguide is a software application developed by FANUC that allows users to program FANUC robots offline. As with any offline programming software, it is designed to streamline the programming process and increase efficiency by allowing you to create programs without the physical robot.

The core functionality of the program is its offline programming and simulation. It also has some application-specific features such as PaintPRO for painting applications and WeldPRO for arc welding applications.

FANUC is one of the industry’s leading brands of industrial robots. You can see the manufacturer’s ubiquitous yellow-colored robots in many manufacturing companies across the globe.

It’s common for robot integrators, distributors, and suppliers to specialize in a particular brand of robot. This means that FANUC distributors often only recommend Roboguide to new robot users.

Why People Often Use Roboguide

When we visit trade fairs and conferences, we find that many FANUC users are unaware there are other options for offline programming.

Why do people stick with Roboguide when there are other options for offline programming?

As well as simply being unaware of the other options, there is also the familiarity. If you have bought your robots from FANUC, the brand feels familiar. It feels like it’s safer to buy everything from one supplier rather than looking for alternatives.

RoboDK — The Increasingly Popular Alternative to Roboguide

If you are looking for an alternative to Roboguide, it makes sense to consider RoboDK.

RoboDK is a powerful and user-friendly robotic programming software that makes it easy to create, simulate, and deploy programs for any industrial robot arm.

With RoboDK, you can quickly and easily create robot programs for a range of applications, including welding, palletizing, handling, and assembly tasks. It is compatible with dozens of FANUC robots and works with all the major robot brands.

All of RoboDK’s offline programming features come with a single license. You can find this on the pricing page.

Finally, there is a ton of free RoboDK training on this blog and their YouTube channel.

Is RoboDK for You? How to Find Out

How can you find out if RoboDK is the right solution for your offline programming project?

A good place to start is by downloading a free trial.

You can also find out more about RoboDK’s features on this product page.

What issues have you run into when using Roboguide? Tell us in the comments below or join the discussion on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel.

The post Roboguide: How To Program a FANUC Robot appeared first on RoboDK blog.

In this blog post, we will explore the transformative power of industrial robot arms within the context of Industry 4.0, and how they are propelling the manufacturing industry forward.

Enabling Connectivity and Collaboration in Smart Factories

As Industry 4.0 emphasizes the integration of cyber-physical systems, industrial robot arms serve as the backbone connecting the physical and digital realms. These intelligent machines have advanced sensors and software, enabling them to communicate, collaborate, and coordinate seamlessly with other devices, systems, and human workers.

By enabling connectivity and collaboration, industrial robot arms facilitate the realization of intelligent factories where automation systems work harmoniously, sharing real-time data and optimizing production processes.

Robot Arms: Enhancing Productivity, Flexibility, and Quality

Industrial robot arms bring a multitude of benefits to the manufacturing landscape. With their remarkable precision, speed, and repeatability, these machines can perform various complex tasks with unmatched efficiency.

Their ability to quickly adapt to changing production needs makes them highly flexible and versatile. Moreover, industrial robot arms improve product quality by eliminating human error and ensuring consistent and precise operations. By leveraging these capabilities, businesses can achieve enhanced productivity, greater agility, and high product quality.

Leveraging Real-time Data for Predictive Maintenance and Optimization

In the era of Industry 4.0, data is king. Industrial robot arms play a crucial role in collecting and analysing real-time data from their sensors, allowing for predictive maintenance and optimization of production processes. Moreover, it enables proactive maintenance by continuously monitoring their performance and detecting signs of potential issues, reducing downtime, and minimizing costly breakdowns.

Remote Monitoring and Control for Efficient Operations

Industrial robots can be remotely monitored and controlled, offering businesses a new level of operational efficiency. With centralized management and remote accessibility, companies can oversee and coordinate multiple production sites from a single location. This remote-control capability enables rapid response times to potential issues, reduces the need for on-site presence, and streamlines maintenance and troubleshooting procedures. As a result, organizations can achieve cost savings, increased uptime, and more efficient allocation of resources.

Successful Case Studies

Below are several real-world case studies that exemplify the successful implementation of industrial robot arms and the tangible outcomes accomplished by businesses:

Tesla’s Gigafactory

Tesla, the electric vehicle manufacturer, implemented many industrial robot arms in its Gigafactory for automating various production processes. These robots are used for tasks like welding, painting, and assembly.

By using robots, Tesla significantly increased production efficiency, reduced defects, and improved product quality. Additionally, its implementation also improved worker safety by automating hazardous tasks.

Amazon’s Fulfillment Centers

Amazon: the e-commerce giant, employs thousands of industrial robot arms in its fulfillment centers. These robots are responsible for picking, packing, and sorting items for shipment. By using robot arms, Amazon has been able to greatly speed up order fulfillment, leading to faster delivery times for customers. They work alongside human workers, allowing for a more efficient and streamlined operation.

BMW’s Production Line

BMW, the automotive manufacturer, incorporated industrial robot arms into its production line for tasks such as welding painting, and assembly. The robots work collaboratively with human workers, enhancing productivity and precision. BMW has reported improved production quality, reduced cycle times, and optimized resource utilization through the implementation of robot arms.

The Future of Industrial Robot Arms in Industry 4.0

The future of industrial robots within the Industry 4.0 landscape is promising. As technologies such as artificial intelligence, machine learning, and advanced sensors evolve, robot arms will become even more intelligent and autonomous. This will lead to adaptive decision-making, enhanced human-robot interaction, and improved safety measures. Integrating them with other emerging technologies, such as augmented and virtual reality, will expand their capabilities, allowing for more immersive programming, simulation, and training experiences.

Conclusion

Industrial robot arms are undeniably driving the future of automation in the Industry 4.0 era. Their connectivity, collaboration, and adaptability empower businesses to create intelligent, efficient, and connected manufacturing environments. By embracing these technologies, companies can gain a competitive edge, achieve higher productivity and reduce costs. And stay ahead in the rapidly evolving landscape of industrial automation.

To fully unlock the potential of industrial robots in your manufacturing processes, visit robodk.com. RoboDK offers cutting-edge software solutions that streamline robot programming, simulation, and optimization. With RoboDK’s intuitive platform, you can unleash the full capabilities of industrial robots.

Remember, the future of manufacturing is here, and industrial robots power it. Take advantage of the opportunity to revolutionize your operations and stay at the forefront of innovation.

Follow us on LinkedIn, Twitter, Facebook, Instagram, or in the RoboDK Forum.. Also, check out our extensive video collection and subscribe to the RoboDK YouTube Channel

The post The Transformative Power of Industrial Robot Arms in Industry 4.0 appeared first on RoboDK blog.