Overview
Constraining robots in cages limits their capabilities. Current markets demand reduced lead times and mass customization. These demands have stimulated interest in flexible and multipurpose manufacturing systems through human and robot collaborations that do not endanger workers. In flexible and collaborative automation, Collaborative robots (Cobots) augment and enhance human capabilities with strength, precision, and data analytic capabilities that add value for the cobot end-users. Cobots are revolutionizing the way we approach mass customization for manufacturing and reduced lead times for warehouse automation. The development of Cobot applications relies heavily on autonomy using perception, planning, and control algorithms.
In this webinar, you will learn how to incorporate MATLAB’s AI capabilities and sophisticated robot algorithms into your Cobot applications to enable Cobot to operate more intelligently, autonomously, and effectively in various applications, ultimately improving their performance and productivity in a collaborative manner. We will walk through the development of the real-world applications, such as intelligent bin picking with Cobots using MATLAB and Simulink.
Highlights
You will gain insights on:
- Model-based systems engineering to create a digital twin of your Cobot
- Integrating AI tools for advanced Cobot applications
- Detecting and classifying objects for Cobot intelligent bin picking applications
- Teaching Cobot motions using inverse kinematics and motion planning
- Controlling robot motion for safe interaction
- Deploying Cobots applications
Who is this webinar for?
- Robotics Software Engineers
- Robotics Sensing and Control Engineers
- System Integrators for Cobot Deployment
- Cobot Algorithms Developers
About the Presenters
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.
Ankur Bose is a Senior Team Lead for the UAV & Robotics Development team at the MathWorks. He has 8 years of experience in the field of Embedded Systems and has been working on developing solutions to integrate Autonomous vehicles with MATLAB at MathWorks for more than 5 years. He leads a team of software engineers at MathWorks which provides workflows to deploy algorithms from MATLAB and Simulink on UAVs and cobots. Ankur received his Master’s degree in Electrical Engineering from Indian Institute of Technology, Varanasi in India in 2014.
