Modeling a Pick and Place Robot Using Forward and Inverse Kinematics
| Start Time | End Time |
|---|---|
| 30 Apr 2026, 04:00 EDT | 30 Apr 2026, 05:00 EDT |
Overview
This session demonstrates how to build a model-based representation of a delta robot completing a pick and place task. The example follows a vacuum gripper moving a part through multiple target positions before placing it at the first marker and returning to a home configuration.
The webinar introduces methods for validating robot motion, workspace behavior, and part interaction before hardware is available. The demonstration shows how simulation can support early evaluation of kinematics, contact behavior, and trajectory execution in a unified environment used by mechanical, robotics, and controls teams.
Who Should Attend
This session is designed for engineers and technical professionals working with industrial robotics, automation systems, or model-based workflows for motion planning and kinematics. It is also relevant for teams evaluating simulation approaches for early-stage robot design and integration.
Highlights
- Set up a delta robot model for a complete pick and place task, including the robot geometry, gripper, and workspace targets.
- Create and apply kinematic solver objects from MATLAB Function blocks to compute forward and inverse kinematics during simulation.
- Model contact between the robot, the part, and the surrounding environment using physics-based components.
- Analyze interactions such as gripping forces, placement accuracy, and potential collisions.
- Use a shared environment that connects mechanical models, robot kinematics, and control logic for integrated testing.
About the Presenter
Jens Lerche
Application Engineer | MathWorks
Jens has been working as an Application Engineer at MathWorks since 2013. Since early 2016, he has primarily supported customers in the production equipment engineering sectors in Germany and Austria. His technical focus lies in creating Mechatronic System Simulation and Digital Twins. Prior to joining MathWorks, Jens earned his Master’s degree in Mechatronics from TU Dresden and spent several years in the automotive industry.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
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