Design Industrial Robot Applications from Perception to Motion
Overview
Developing industrial robotics require knowledge and experience in many engineering domains, including mechanical design, perception, decision making, control design, and embedded systems. This webinar discusses a complete industrial robotics workflow from perception to motion. We will walk through the development of a pick-and-place robot manipulator application. Some of the topics that will be covered include:
- Performing scalable physics simulation
- Designing perception algorithm using computer vision and deep learning
- Setting up co-simulation with sensor and environment models
- Using motion planning with obstacle avoidance
- Using supervisory logic and control using state machine
- Achieving advanced control via reinforcement learning
- Connecting hardware through ROS network and deployment
Highlights
Through a pick-and-place robot manipulator application, we will cover:
- Creating custom robot designs and importing robot models from CAD tools
- Developing autonomous robotics algorithm
- Simulation-based testing and validation
- Deployment
About the Presenters
YJ Lim is a Senior Technical Product Manager of robotics and autonomous systems at the MathWorks. He has over 20 years of experience in robotics and autonomous systems area. Before joining MathWorks, Lim worked at Vecna Robotics based in Waltham, MA as a 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.
Hannes Daepp is the Product Lead for the Robotics System Toolbox. He has been with MathWorks for 5 years, where he specializes in developing tools for robotic simulation, inverse kinematics, and manipulation. Prior to joining the MathWorks, Daepp completed his PhD at the Georgia Institute of Technology, where he focused on compliant control to increase the safety of human-robot collaboration.
Recorded: 31 Mar 2021
Download Code and Files
Related Products
Learn More
Featured Product
Robotics System Toolbox
Up Next:
Related Videos:
Web サイトの選択
Web サイトを選択すると、翻訳されたコンテンツにアクセスし、地域のイベントやサービスを確認できます。現在の位置情報に基づき、次のサイトの選択を推奨します:
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。
最適なサイトパフォーマンスの取得方法
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。
南北アメリカ
- América Latina (Español)
- Canada (English)
- United States (English)
ヨーロッパ
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
アジア太平洋地域
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)