Search Results for author: Nicolas Mansard

Found 7 papers, 4 papers with code

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning

no code implementations27 Mar 2024 Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Souères, Nicolas Mansard

In this work, we advocate for integrating constraints into robot learning and present Constraints as Terminations (CaT), a novel constrained RL algorithm.

reinforcement-learning Reinforcement Learning (RL)

Torque Controlled Locomotion of a Biped Robot with Link Flexibility

no code implementations27 Oct 2022 Nahuel A Villa, Pierre Fernbach, Maximilien Naveau, Guilhem Saurel, Ewen Dantec, Nicolas Mansard, Olivier Stasse

The stabilizer and motion generator are designed together to ensure feasibility under the assumption of bounded errors.

Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos

no code implementations2 Nov 2021 Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic

First, we introduce an approach to jointly estimate the motion and the actuation forces of the person on the manipulated object by modeling contacts and the dynamics of the interactions.

Human-Object Interaction Detection Object

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

2 code implementations11 Sep 2019 Carlos Mastalli, Rohan Budhiraja, Wolfgang Merkt, Guilhem Saurel, Bilal Hammoud, Maximilien Naveau, Justin Carpentier, Ludovic Righetti, Sethu Vijayakumar, Nicolas Mansard

Additionally, we propose a novel optimal control algorithm called Feasibility-driven Differential Dynamic Programming (FDDP).

Robotics Optimization and Control

Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics

1 code implementation10 Apr 2019 Rohan Budhiraja, Justin Carpentier, Carlos Mastalli, Nicolas Mansard

A common strategy today to generate efficient locomotion movements is to split the problem into two consecutive steps: the first one generates the contact sequence together with the centroidal trajectory, while the second one computes the whole-body trajectory that follows the centroidal pattern.

Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video

1 code implementation CVPR 2019 Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic

First, we introduce an approach to jointly estimate the motion and the actuation forces of the person on the manipulated object by modeling contacts and the dynamics of their interactions.

Object

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