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20212026
most citedDifferentiable Rendering with Perturbed Optimizers

8 citations · 16 across the 8 of their papers we have counts for

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7 papers · 1 filter

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

From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach

Justin Carpentier, Louis Montaut, Quentin Le Lidec

Whether rigid or compliant, contact interactions are inherent to robot motions, enabling them to move or manipulate things. Contact interactions result from complex physical phenom…

cs.RO2023★ 4 cited

Contact Models in Robotics: a Comparative Analysis

Quentin Le Lidec, Wilson Jallet, Louis Montaut +3

Physics simulation is ubiquitous in robotics. Whether in model-based approaches (e.g., trajectory optimization), or model-free algorithms (e.g., reinforcement learning), physics si…

cs.RO2022★ 1 cited

Differentiable Collision Detection: a Randomized Smoothing Approach

Louis Montaut, Quentin Le Lidec, Antoine Bambade +3

Collision detection appears as a canonical operation in a large range of robotics applications from robot control to simulation, including motion planning and estimation. While the…

cs.RO2022

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control

Quentin Le Lidec, Wilson Jallet, Ivan Laptev +2

Reinforcement learning (RL) and trajectory optimization (TO) present strong complementary advantages. On one hand, RL approaches are able to learn global control policies directly…

cs.RO2022★ 3 cited

Augmenting differentiable physics with randomized smoothing

Quentin Le Lidec, Louis Montaut, Cordelia Schmid +2

In the past few years, following the differentiable programming paradigm, there has been a growing interest in computing the gradient information of physical processes (e.g., physi…

cs.RO2022

Collision Detection Accelerated: An Optimization Perspective

Louis Montaut, Quentin Le Lidec, Vladimir Petrik +2

Collision detection between two convex shapes is an essential feature of any physics engine or robot motion planner. It has often been tackled as a computational geometry problem,…