Design Industrial Robot Applications from Perception to Motion

Overview

Developing industrial robotics require knowledge and experience in many engineering domains, including mechanical design, perception, decision making, control design, and embedded systems.  This webinar discusses a complete industrial robotics workflow from perception to motion. We will walk through the development of a pick-and-place robot manipulator application. Some of the topics that will be covered include:

• Performing scalable physics simulation
• Designing perception algorithm using computer vision and deep learning
• Setting up co-simulation with sensor and environment models
• Using motion planning with obstacle avoidance
• Using supervisory logic and control using state machine
• Achieving advanced control via reinforcement learning
• Connecting hardware through ROS network and deployment

Highlights

Through a pick-and-place robot manipulator application, we will cover:

• Creating custom robot designs and importing robot models from CAD tools
• Developing autonomous robotics algorithm
• Simulation-based testing and validation
• Deployment

About the Presenters

YJ Lim is a Senior Technical Product Manager of robotics and autonomous systems at the MathWorks. He has over 20 years of experience in robotics and autonomous systems area. Before joining MathWorks, Lim worked at Vecna Robotics based in Waltham, MA as a Project Manager focused on Vecna’s advanced robotics system development. Prior to Vecna, he served as the Chief Innovation Officer at Hstar Technologies, a startup focused on agile mobile robotic platform and healthcare service robotics system. He worked with government agencies and served on governmental working groups on matters of advanced robotics system research. Lim also led development teams at Energid Technologies, a firm that provides engineering services and products for advanced robotic, machine-vision, and simulation applications, for robotic software development. Lim received his Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute (RPI) and his Master from KAIST in S. Korea.

Hannes Daepp is the Product Lead for the Robotics System Toolbox. He has been with MathWorks for 5 years, where he specializes in developing tools for robotic simulation, inverse kinematics, and manipulation. Prior to joining the MathWorks, Daepp completed his PhD at the Georgia Institute of Technology, where he focused on compliant control to increase the safety of human-robot collaboration.