Applying AI to Enable Autonomy in Robotics Using MATLAB

Start Time	End Time
12 Oct 2023, 12:00 PM EDT	12 Oct 2023, 1:00 PM EDT

Overview

Join to learn how to empower robots with AI for perception and motion control techniques, including object identification, pose estimation, and motion planning. AI-enabled robots are growing in various industries, such as manufacturing facilities, power plants, and warehouses. Warehouse bin-picking is a prime example, where deep learning and reinforcement learning enable robots to handle various objects with minimal human assistance, reducing workplace injuries due to repetitive motions.

With MATLAB and Simulink, you can design, test, and deploy your AI applications in advanced robotics systems. Learn how this powerful platform allows for successful AI adoption in robotics and autonomous systems, reducing development time and time to market.

Highlights

You will gain insights on:

Calibrating a robot camera to perceive environment
Reducing manual effort with automatic data labeling
Detecting and classifying objects using deep learning for robotics applications
Motion planning using deep learning
Controlling robot motion using reinforcement learning
Deploying deep learning algorithms as CUDA-optimized ROS nodes
Integrating ChatGPT with MATLAB for object detection

Who Should Attend

Robotics Software Engineers
System Integrators for Cobot Deployment
Cobot Algorithms Developers
Robotics Engineering Managers
Automation Program Manager

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.

Tohru Kikawada is a Senior Application Engineer at the 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.

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!

YJ Lim
Principal Product Lead, Robotics and Autonomous Systems, MathWorks

yjlim@mathworks.com

Product Focus

MATLAB

This event is part of a series of related topics. View the full list of events in this series.

Applying AI to Enable Autonomy in Robotics Using MATLAB

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Webex - 12 Oct 2023, 12:00 PM EDT

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