8 citations · 16 across the 8 of their papers we have counts for
9 papers
stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation
Lucas Maes, Quentin Le Lidec, Dan Haramati +4
World Models have emerged as a powerful paradigm for learning compact, predictive representations of environment dynamics, enabling agents to reason, plan, and generalize beyond di…
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…
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…
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…
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…
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…
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…
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,…
Differentiable Rendering with Perturbed Optimizers
Quentin Le Lidec, Ivan Laptev, Cordelia Schmid +1
Reasoning about 3D scenes from their 2D image projections is one of the core problems in computer vision. Solutions to this inverse and ill-posed problem typically involve a search…