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Quentin Le Lidec

7 accepted papers

2026

Causal-JEPA: Learning World Models through Object-Level Latent Interventions

ICML 2026poster

World models require robust relational understanding to support prediction, reasoning, and control. While object-centric representations provide a useful abstraction, they are not sufficient to capture interaction-dependent dynamics. We therefore propose C-JEPA, a simple and flexible object-centric …

Cited by 0SourceScholar
2024

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

RSS 2024poster

Whether rigid or compliant, contact interactions are inherent to robot motions, enabling them to move or manipulate things. Contact interactions result from complex physical phenomena, that can be mathematically cast as Nonlinear Complementarity Problems (NCPs) in the context of rigid or compliant p…

2023

Differentiable Collision Detection: a Randomized Smoothing Approach

ICRA 2023poster

Collision detection is an important component of many robotics applications, from robot control to simulation, including motion planning and estimation. While the seminal works on the topic date back to the 80s, it is only recently that the question of properly differentiating collision detection ha…

Cited by 36SourceScholar
2023

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

ICRA 2023poster

Reinforcement learning (RL) and trajectory opti-mization (TO) present strong complementary advantages. On one hand, RL approaches are able to learn global control policies directly from data, but generally require large sample sizes to properly converge towards feasible policies. On the other hand,…

Cited by 7SourceScholar
2022

Collision Detection Accelerated: An Optimization Perspective

RSS 2022poster

Collision detection between two convex shapes is an essential feature of any physics engine or robot motion planner. It has been often tackled as a computational geometry problem, with the Gilbert, Johnson and Keerthi (GJK) algorithm being the most common approach today. In this work we show that co…

2021

Differentiable Simulation for Physical System Identification

RA-L 2021

Simulating frictional contacts remains a challenging research topic in robotics. Recently, differentiable physics emerged and has proven to be a key element in model-based Reinforcement Learning (RL) and optimal control fields. However, most of the current formulations deploy coarse approximations o

Cited by 65SourceScholar
2021

Differentiable rendering with perturbed optimizers

NeurIPS 2021poster

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 for models that best explain observed image data. Notably, images depend both on the properties of observed scenes and…

Cited by 16SourcePDFScholar