Compliant Feedback Control of Legged Robots

The goal of this project is to achieve reliable locomotion behaviors in semi-structured environments with the humanoid robots HRP-2 and Pyrene. This project relies on model-based feedback control techniques, such as inverse-dynamics and model predictive control.

Robust Robotics

Nowadays legged robots are capable of performing locomotion and manipulation in semi-structured environments, but with a low level of reliability, which makes their application in disaster-recovery scenarios difficult, if not impossible. However, if we look at the results that researchers in robotics and animation have achieved in simulation, we can see that simulated robots/avatars can easily and reliably perform dynamic movements such as walking, running, jumping, kicking. What is preventing real robots from showing similar performance?

Recent Publications

More Publications


“Second Workshop on Perception and Planning for Legged Robot Locomotion in Challenging Domains”

Organizers: D. Kanoulas, I. Havoutis, M. Fallon, A. Del Prete, E. Yoshida.

Full-day workshop at ICRA 2017, Singapore.

“Robust Optimization-Based Control and Planning for Legged Robots”

Co-organized with Russ Tedrake, (MIT, USA) and Alexander Herzog (Max Planck IS, Germany).

Full-day workshop at ICRA 2016, Stockholm (Sweden).

“Torque-Controlled Humanoids”

Co-organized with Luis Sentis (University of Texas, Austin).

Full-day workshop at Humanoids 2013, Atlanta (Georgia, USA).