LASA develops method to enable humans to teach robots to perform skills with the level of dexterity displayed by humans in similar tasks. Our robots move seamlessly with smooth motions. They adapt on-the-fly to the presence of obstacles and sudden perturbations, mimicking humans’ immediate response when facing unexpected and dangerous situations.

Current highlights

In this project, we study and learn from novice and expert watchmakers to understand and develop algorithms for dexterous and bimanual manipulation.

LASA teamed up with MIT press to publish a textbook presenting a wealth of machine learning techniques to make robot control more flexible and safer when interacting with humans.

The Swiss National Thematic Network (NTN) Innovation Booster Robotics, lead by Professor Aude Billard, is a program powered by the Swiss Innovation Agency, Innosuisse. Innovation Booster Robotics promotes knowledge transfer and sponsors co-operation with partners across robotics research labs and industry.

Research at LASA