Design & Deploy Collaborative Robots (Cobots) Using MATLAB

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Design & Deploy Collaborative Robots (Cobots) Using MATLAB

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Overview

Constraining robots to cages limit their capabilities. And current markets demand reduced lead times and mass customization. These demands have stimulated interest in flexible and multi-purpose manufacturing systems through human and robot collaborations that do not endanger workers. A collaborative robot (Cobot) is a robot that allows humans to work alongside the robot through direct interaction without conventional safeguarding fences. The development of Cobot applications relies heavily on autonomy in perception, planning, and control.

In this webinar, you will learn how to incorporate autonomous algorithms and AI tools into your Cobot applications. We will walk through the development of the real-world applications, such as glue dispensing robots on automotive windshield glass and smart bin picking Cobots using MATLAB and Simulink.

Highlights

You will gain insights on:

  • Detecting and classifying objects for Cobot smart bin picking applications
  • Teaching Cobot motions using inverse kinematics and motion planning
  • Controlling robot motion for safe interaction
  • Deploying and connecting Cobots using ROS

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can’t make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenters

YJ Lim is a Principal Technical Product Manager of robotics and autonomous systems at the MathWorks. He has over 20 years of experience in robotics and autonomous systems area. Lim’s responsibility in MathWorks includes long-term strategy development and product management of robotics and autonomous systems. Before joining MathWorks, Lim worked at Vecna Robotics based in Waltham, MA as a Sr. Project Manager focused on Vecna’s advanced robotics system development. Prior to Vecna, he served as the Chief Innovation Officer at Hstar Technologies, a startup focused on agile mobile robotic platform and healthcare service robotics system. He worked with government agencies and served on governmental working groups on matters of advanced robotics system research. Lim also led development teams at Energid Technologies, a firm that provides engineering services and products for advanced robotic, machine-vision, and simulation applications, for robotic software development. Lim received his Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute (RPI) and his Master from KAIST in S. Korea. yjlim@mathworks.com

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. abose@mathworks.com

Product Focus

Event registration closed.
 

Date And Time

16-11-2022 - 06:00 PM (+04) to
16-11-2022 - 07:00 PM (+04)
 

Registration End Date

16-11-2022
 

Location

Online event
 

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Event Category

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