Job Description
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 ...