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Overview

Autonomous robotics requires knowledge and experience in many engineering domains, including mechanical design, perception, decision making, control design, and embedded systems.

This webinar explains a complete autonomous robotics workflow that allows an engineer to easily learn and apply the many functional domains of robotics. 

 


We will walk through the development of a robot arm pick-and-place application. Some of the topics that will be covered include are:

Highlights:

  • Development of kinematic and dynamic robot models
  • Perception algorithm design using deep learning.
  • Multi-sensor fusion for accurate localization
  • Gazebo cosimulation for sensor models and environment simulation
  • Path planning with obstacle avoidance
  • Supervisory logic and control using Stateflow®

 

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Speaker

Supamith Sutharojana, Application Engineer Team Lead at Ascendas Systems


He specializes in the areas of Model-Based Design and Auto Code Generation with MATLAB/Simulink. He holds a bachelor’s degree from Chulalongkorn University major in Automotive Engineering. Before joining Ascendas Systems, he was an Engine Software Designer at Toyota Daihatsu Engineering & Manufacturing working in Engine Calibration and Engine software development field.


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