MathWorks Joins the Universal Robots Ecosystem, Providing Robotics Engineers with Artificial Intelligence and Autonomous Capabilities for Cobot Programming
MathWorks, the world’s leading developer of mathematical computing software, announced its participation in the UR+ program. The program is compatible with Universal Robots(UR) The seamless integration of collaborative robot certification products is tailor-made, and it is the largest and most comprehensive ecosystem in the industry. MathWorks’ programming and mathematical computing platform, MATLAB, is UR+ certified. MATLAB provides software tools and algorithms for designing, simulating, testing, and deploying robotics applications, including Universal Robots cobots.
Robotics engineers use MATLAB for specialized or complex collaborative robotics applications. These applications incorporate technologies such as machine learning, deep learning, computer vision, optimization, sensor fusion, and advanced signal processing, and are difficult to program using UR’s teach pendant or graphical programming tools. MATLAB’s ability to support artificial intelligence allows cobots to move more efficiently through sophisticated robotics algorithms and dynamic perception of changing workspaces. Engineers can connect MATLAB to robot program simulation software URSim or UR hardware to validate their UR cobot applications. MATLAB’s support for Universal Robots is compatible with the entire e-Series and CB-Series products.
Christopher Savoia, UR+ Ecosystem Manager at Universal Robots, said, “We are delighted to have MathWorks join our UR+ solutions ecosystem and look forward to seeing this partnership help robotics engineers simplify the deployment of complex cobots.”
Robotics engineers use MATLAB for specialized or complex cobot applications. These applications are difficult to program using the UR teach pendant or graphical programming tools.
Offline programming and simulation of cobots in MATLAB minimizes user downtime for on-site programming of cobots. Robotics engineers can also use MATLAB Coder™ and Simulink Coder™ to generate C++ code directly on embedded targets such as GPU boards to deploy robotics algorithms and AI models for independent, accelerated execution on UR hardware.
“With Universal Robots’ market leadership and the ability to accelerate the pace of innovation with MATLAB and Simulink, integrators and end users will now have the ability to implement more complex automation workflows,” said Dominic Viens, Director of Design Automation Marketing at MathWorks. The UR Hardware Support Package shortens the Time-to-market for advanced cobot applications integrating multiple complex technologies. This enables small and mid-sized manufacturers to adopt deep technology stacks at a fraction of the cost of engaging external consultants.”
Robotics engineers can use MATLAB’s deep learning to achieve intelligent random sorting (bin picking)
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