3 papers
eess.SY2020
Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance
Ahmad Gazar, Majid Khadiv, Andrea Del Prete +1
Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for humanoid robots. However, the effect of uncertainties on constraints sa…
cs.RO2019
SL1M: Sparse L1-norm Minimization for contact planning on uneven terrain
Steve Tonneau, Daeun Song, Pierre Fernbach +3
One of the main challenges of planning legged locomotion in complex environments is the combinatorial contact selection problem. Recent contributions propose to use integer variabl…
cs.RO2019
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Mohammad Hasan Yeganegi, Majid Khadiv, S. Ali A. Moosavian +3
Trajectory optimization (TO) is one of the most powerful tools for generating feasible motions for humanoid robots. However, including uncertainties and stochasticity in the TO pro…