News

We are delighted to extend our heartfelt congratulations to Guillermo A Castillo for the successful defense of his PhD thesis. This exciting milestone represents not only years of Guillermo’s unwavering dedication, hard work, and innovative contributions to the field of legged robotics but also signifies a momentous occasion in the history of our lab.

Guillermo Castillo and collaborators connect reduced-order models with hierarchical reinforcement learning.

A collaboration extends the ALIP model and foot-placement control to moving ground.

Chengyang Peng and collaborators combine obstacle-shape estimation with control barrier functions.

Bowen Weng and collaborators examine how to compare scenario-based robot safety tests.