Overview

We are looking for a dexterous manipulation expert to strengthen our team in Zurich. The goal of this position is the development and deployment of state-of-the-art learning-based controllers to interact with the environment and manipulate objects more reliably and flexibly.

As all code has to run on real robotic hardware in real time, hands-on robotic experience and knowledge in state-of-the-art models for dexterous manipulation, such as diffusion models, flow matching or reinforcement learning, is required.

Experience with ROS and perception models is a plus.

Responsibilities

• Develop and deploy state-of-the-art learning-based controllers to interact with the environment and manipulate objects reliably and flexibly on real robotic hardware in real time.
• Apply knowledge of dexterous manipulation models (e.g., diffusion models, flow matching, reinforcement learning) to practical robot systems.
• Collaborate in a ...