How-to pick and place with robot vision in automation
This video introduces the fundamentals of pick and place automation using robot vision. You’ll learn how vision systems locate objects, how robots calculate joint movements, and why 2D or 3D sensing plays a crucial role in accurate, reliable object handling. The video explains the full workflow from object detection to robot motion, giving you a clear understanding of how modern pick and place systems work.
We explore real examples, including a bin picking scenario, to demonstrate how pose estimation, hand‑eye calibration, and grasp planning fit together. You’ll also see when 2D vision is sufficient, when 3D data becomes essential, and how simulation tools help define robust gripping strategies. Whether you're new to robot vision or improving an existing setup, this video provides practical insights into implementing efficient pick and place solutions.
Topics covered
- Basics of pick and place automation and why it’s used
- Differences between 2D and 3D vision systems
- Understanding pose, orientation, and degrees of freedom
- Hand‑eye calibration and grasp point definition
- Bin picking workflow from scene capture to object selection
- Key considerations for designing a reliable vision‑guided system
Video timeline
- 00:00 - Introduction & agenda
- 01:01 - Application example from daily life
- 02:51 - Pick and place in automation
- 04:09 - Components and fields of engineering
- 06:30 - Object pose - fully defining the location
- 08:23 - Vision system – complexity
- 09:38 - Vision system – 2D
- 10:23 - Vision system – 3D
- 11:31 - Bin picking application
- 12:12 - Hand-eye calibration
- 13:28 - Grasp positions
- 15:29 - Describe cell geometry
- 16:33 - Running application
- 20:12 - Summary
Who should watch
This video is ideal for automation engineers, robotics developers, system integrators, and anyone planning to implement or optimise a robot‑vision‑based pick and place system.
Watch now to deepen your understanding of robot vision.
