35 citations · 54 across the 9 of their papers we have counts for
3 papers · 1 filter
Robust Task-Space Quadratic Programming for Kinematic-Controlled Robots
Mohamed Djeha, Pierre Gergondet, Abderrahmane Kheddar
Task-space quadratic programming (QP) is an elegant approach for controlling robots subject to constraints. Yet, in the case of kinematic-controlled (i.e., high-gains position or v…
The hierarchical Newton's method for numerically stable prioritized dynamic control
Kai Pfeiffer, Adrien Escande, Pierre Gergondet +1
This work links optimization approaches from hierarchical least-squares programming to instantaneous prioritized whole-body robot control. Concretely, we formulate the hierarchical…
Learning Bipedal Walking for Humanoids with Current Feedback
Rohan Pratap Singh, Zhaoming Xie, Pierre Gergondet +1
Recent advances in deep reinforcement learning (RL) based techniques combined with training in simulation have offered a new approach to developing robust controllers for legged ro…