66 citations · 70 across the 5 of their papers we have counts for
7 papers · 1 filter
CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning
Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols +3
Deep Reinforcement Learning (RL) has demonstrated impressive results in solving complex robotic tasks such as quadruped locomotion. Yet, current solvers fail to produce efficient p…
Optimization-Based Control for Dynamic Legged Robots
Patrick M. Wensing, Michael Posa, Yue Hu +3
In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to impact emerging robotics applications from logistics, to agriculture, to home assistance. Th…
Constrained Differential Dynamic Programming: A primal-dual augmented Lagrangian approach
Wilson Jallet, Antoine Bambade, Nicolas Mansard +1
Trajectory optimization is an efficient approach for solving optimal control problems for complex robotic systems. It relies on two key components: first the transcription into a s…
ProxNLP: a primal-dual augmented Lagrangian solver for nonlinear programming in Robotics and beyond
Wilson Jallet, Antoine Bambade, Nicolas Mansard +1
Mathematical optimization is the workhorse behind several aspects of modern robotics and control. In these applications, the focus is on constrained optimization, and the ability t…
Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion
Teguh Santoso Lembono, Carlos Mastalli, Pierre Fernbach +2
In this paper, we propose a framework to build a memory of motion for warm-starting an optimal control solver for the locomotion task of a humanoid robot. We use HPP Loco3D, a vers…
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…