activity
20242026
most citedHighly-Efficient Differentiable Simulation for Robotics

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO2026

OTRetarget: Joint Robot and Object Motion Retargeting via Optimal Transport

Guillaume Besset, Erwann Carn, Timothée Carecchio +5

Transferring human motion to humanoid robots requires adapting the demonstrated motion to the robot morphology while preserving interactions with the environment. This is particula…

cs.RO2026

Frictional Contact Solving for Material Point Method

Etienne Ménager, Justin Carpentier

Accurately handling contact with friction remains a core bottleneck for Material Point Method (MPM), from reliable contact point detection to enforcing frictional contact laws (non…

cs.RO2026

Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation

Marc Toussaint, Cornelius V. Braun, Armand Jordana +5

Training non-prehensile manipulation policies in contact-rich settings is a core challenge in robotics. While Reinforcement Learning (RL) has demonstrated its strength in such sett…

cs.RO2025

Optimal Control of Walkers with Parallel Actuation

Ludovic de Matteis, Virgile Batto, Justin Carpentier +1

Legged robots with closed-loop kinematic chains are increasingly prevalent due to their increased mobility and efficiency. Yet, most motion generation methods rely on serial-chain…

cs.RO2025

Differentiable Simulation of Soft Robots with Frictional Contacts

Etienne Ménager, Louis Montaut, Quentin Le Lidec +1

In recent years, soft robotics simulators have evolved to offer various functionalities, including the simulation of different material types (e.g., elastic, hyper-elastic) and act…

cs.RO2024★ 1 cited

Highly-Efficient Differentiable Simulation for Robotics

Quentin Le Lidec, Louis Montaut, Yann de Mont-Marin +3

Robotics simulators have improved significantly in computational speed and scalability, enabling them to generate years of simulated data for complex systems in minutes or hours. D…