Empower Your Robots with AI Using MATLAB
Overview
AI-powered robots continue to expand in use for manufacturing facilities, power plants, warehouses, and other industrial sites. Warehouse bin-picking is a good example. In an e-commerce fulfillment warehouse, human workers need to pick and place millions of different products into boxes based on customer requirements. Deep learning and reinforcement learning now enables robots to learn to handle various objects with minimum help from humans.
In this webinar, you will learn how to empower your robots using deep learning and reinforcement learning for perception and motion control in autonomous robotics applications including robot manipulators, autonomous mobile robots, and UAVs using MATLAB.
Highlights
Attendees of this webinar will learn:
- Why use AI for robotics
- What types of AI algorithms and tools to consider for your robot applications
- Detecting using YOLO and classifying objects for robotics applications
- Controlling robot motion using reinforcement learning
- Deploying deep learning algorithms to GPU board as CUDA-optimized ROS nodes
About the Presenters
YJ Lim is a Senior Technical Product Manager of robotics and autonomous systems at the bat365, Natick MA. He has over 20 years of experience in robotics and autonomous systems area. YJ's responsibility in bat365 includes long-term strategy development and product management of robotics and autonomous systems. Before joining bat365, YJ worked on various robotics projects at Vecna robotics, Hstar Technologies, SimQuest, Energid Technologies, and GM Korea. YJ received his Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute (RPI) and his Master from KAIST in S. Korea. yjlim@bat365
Tohru Kikawada is Senior Application Engineer at bat365 Japan. He specializes in development of robotics and autonomous systems with emphasis on perception, planning, simulation, and deployment. Prior to joining bat365 in 2014, Tohru worked as a digital design engineer for image sensors and image processors at Sony Corporation. He holds a B.S. and M.S. in electric engineering from Tohoku University in Japan. tkikawad@bat365
Recorded: 22 Jun 2022
Featured Product
Robotics System Toolbox
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