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reBot Arm Robotics Workshop Series · Session 2
From kinematics to motion — on a real robot arm.
Session 2 of the reBot Arm Robotics Workshop Series shifts the focus deeper into robot motion itself. Building on our previous hands-on workshop around Physical AI, LeRobot, robot learning, and deployment, this session explores the kinematics that make robot motion possible.
We will connect coordinate frames and joints with forward and inverse kinematics, then use Pinocchio for robot modeling and MeshCat for motion visualization before taking the workflow back to the real reBot Arm.
Each session stands on its own. You do not need to have attended Session 1 to join; the goal is a practical path from core concepts to simulation and physical hardware, with room for questions and technical exchange.
Event Details
What we’ll explore
We will move step by step from kinematics fundamentals to modeling, visualization, and real reBot Arm testing:
Coordinate frames & joints
Build the foundation for describing robot pose and motion by understanding coordinate frames, joints, and how they relate across a robot arm.
Forward kinematics
Trace how joint values determine the robot’s pose and turn a kinematic chain into a concrete end-effector position and orientation.
Inverse kinematics
Work backward from a target pose to the joint configuration needed to reach it, and see where practical robot-control constraints appear.
Pinocchio robot modeling
Use the open-source Pinocchio library to represent the robot model and calculate kinematics in a practical Python workflow.
→MeshCat visualization
Visualize the robot model and motion in MeshCat so kinematic results can be inspected before moving to physical hardware.
Real reBot Arm testing
Take the modeled and visualized motion back to the reBot Arm and connect the software workflow with real robot behavior and testing.
Most importantly, this workshop is about exchange. We want to hear your thoughts, your questions, your use cases, and your honest feedback.
Workshop Flow: From Kinematics to Motion
A four-hour hands-on path from kinematics fundamentals to robot modeling, visualization, and real hardware. We will build the concepts first, implement them with open-source Python tools, and then connect the workflow to the reBot Arm.
Kinematics foundations → Forward / inverse kinematics → Pinocchio → MeshCat → Real reBot Arm
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01
Kinematics foundations
Start with coordinate frames, joints, and the core ideas behind forward and inverse kinematics.
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02
Model with Pinocchio
Represent the reBot Arm in Pinocchio and use a Python workflow to calculate and inspect robot kinematics.
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03
Visualize with MeshCat
Use MeshCat to inspect the robot model and motion visually before taking the workflow to physical hardware.
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04
Test on the reBot Arm
Bring the modeled and visualized motion back to the real reBot Arm and compare software results with physical robot behavior.
Who should join?
This workshop is for people who want to understand how robot kinematics moves from theory into Python, visualization, and real hardware. Advanced robotics expertise is not required.
Robotics engineers and developers
Python developers exploring robotics
Open-source robotics software users
Students learning robotics and robot control
Researchers working on robot kinematics and motion
Makers building robotics projects with open tools
Developers interested in robot kinematics and control
reBot Arm Robotics Workshop Series
Previous Sessions & Recaps
Session 1 — Physical AI & Robot Learning. Explored the end-to-end robot-learning workflow on reBot Arm: teleoperation, data collection, LeRobot, SenseCraft, training, and deployment.
Current · Session 2 — From Kinematics to Motion. Focuses on how the robot moves: coordinate frames, forward and inverse kinematics, Pinocchio, MeshCat, and real-hardware testing. Each session stands on its own.
Rebot Meetup Flashback
A video recap from the July meetup in Munich, featuring reBot Arm demos, open-source robotics, embodied AI, and technical exchange among builders.
Watch video
Physical AI Workshop Recap: Hands-on with reBot Arm in Munich
OpenELAB × Seeed Studio Robotics Builders Meetup Recap: From LeRobot and SenseCraft to Real-World Deployment
View recapNo recaps match the selected filters.
Hands-on robotics workshops in Germany, co-hosted by OpenELAB × Seeed Studio
OpenELAB is the Germany City Co-Host in Seeed Studio’s Global Physical AI Workshop Partnership Program. OpenELAB supports the local maker community through hands-on technology workshops, while the partnership brings Edge AI and Robotics to more developers across Europe.
Explore. Build. Share.
Before You Apply
Is this a formal product lecture?
Do I need advanced robotics experience?
Is my seat confirmed after applying?
Where exactly is the workshop?
What is the format?
Who organizes the workshop?
What will the workshop focus on?
AROUND 20 SELECTED PARTICIPANTS
Apply to join From Kinematics to Motion.
Share your background and what you want to explore in robot kinematics, Python, simulation, or robot control so we can create a useful technical exchange among participants.
Apply to Join Submitting the form does not guarantee a seat. Selected participants will receive the final event details by email.
