About the role

We are looking for a Working Student (m/f/d) Contact-Rich Manipulation and RL. In this role, you will prototype and benchmark classical and learning-based approaches to contact-rich manipulation tasks, including insertion, assembly, and surface following, across simulation and real robot hardware.

Your Responsibilities

• Approach Survey: Survey recent literature on contact-rich manipulation and benchmark classical and learning-based approaches against each other on tasks such as insertion, assembly, and peg-in-hole.
• Force/Torque Feedback: Explore force and torque feedback strategies for contact state estimation and reactive control.
• Simulation Prototyping: Prototype and compare RL, MPC, and...