Empower Your Robots with AI Using MATLAB
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.
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 MathWorks, Natick MA. He has over 20 years of experience in robotics and autonomous systems area. YJ's responsibility in MathWorks includes long-term strategy development and product management of robotics and autonomous systems. Before joining MathWorks, 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. firstname.lastname@example.org
Tohru Kikawada is Senior Application Engineer at MathWorks Japan. He specializes in development of robotics and autonomous systems with emphasis on perception, planning, simulation, and deployment. Prior to joining MathWorks 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. email@example.com
Recorded: 22 Jun 2022
また、以下のリストから Web サイトを選択することもできます。
中国のサイト (中国語または英語) を選択することで、最適なサイトパフォーマンスが得られます。その他の国の MathWorks のサイトは、お客様の地域からのアクセスが最適化されていません。