Design Industrial Robot Applications from Perception to Motion
The future of factories includes advanced robotics system and collaborative robots (cobots) working with humans. Designing autonomous robotics systems requires in-depth knowledge and practical experience in a vast range of engineering domains, including mechanical design, perception, decision making, control design, and embedded systems.
We're excited to invite you to our upcoming webinar where you’ll learn about the tools and workflows that enable engineers to develop an end-to-end autonomous robotics solution. It will include functional domains from perception to motion for industrial robot application designs.
You will gain insights on:
- Performing scalable physics simulation
- Designing perception algorithms using computer vision and deep learning
- Setting up co-simulation with sensor and environment models
- Using motion planning for obstacle avoidance
- Achieving advanced control via reinforcement learning
- Connecting hardware through ROS network and deployment
Who is this webinar for?
- Robotics Software Engineers
- Robotics Sensing and Control Engineers
- System Integrators for Cobot Deployment
- Cobot Algorithms Developers
About the Presenter
YJ Lim is the Principal Product Lead of Robotics and Autonomous Systems at MathWorks. He has more than 20 years of experience in the robotics and autonomous systems area. Before joining MathWorks, Dr. Lim served as a senior project manager at Vecna and chief innovation officer at Hstar Technologies, where he led developments of agile mobile robotic platforms and healthcare service robots. Dr. Lim received his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute and his Master’s from Korea Advanced Institute of Science & Technology in South Korea.
Hannes Daepp is a Senior Product Development Manager for the Robotics System Toolbox at the MathWorks. Since joining MathWorks in 2018, he specializes in developing tools for robotic simulation, inverse kinematics, and manipulation. Prior to MathWorks, Dr. Daepp completed his Ph.D. at the Georgia Institute of Technology, where he focused on compliant control to increase the safety of human-robot collaboration.
If you have any questions or have any topic you are working on that you may want us to include in this session, don’t hesitate to contact me. We are looking forward to seeing you at the webinar!
Principal Product Lead, Robotics and Autonomous Systems, MathWorks
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