Justin Carpentier

収録論文 36本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning
  2026/6/1
• Survival Reinforcement Learning: Toward Scalable Self-Supervised RL
  2026/5/29
• Accelerating trajectory optimization with Sobolev-trained diffusion policies
  2026/4/1
• Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation
  2026/2/1
• Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation
  2026/2/1
• Frictional Contact Solving for Material Point Method
  2026/2/1
• First-order Sobolev Reinforcement Learning
  2025/11/1
• Reference-Free Sampling-Based Model Predictive Control
  2025/11/1
• On the Conic Complementarity of Planar Contacts
  2025/9/1
• Sampling-Based Global Optimal Control and Estimation via Semidefinite Programming
  2025/7/1
• Multi-step manipulation task and motion planning guided by video demonstration
  2025/5/1
• Optimal Control of Walkers with Parallel Actuation
  2025/4/1
• PhysPose: Refining 6D Object Poses with Physical Constraints
  2025/3/1
• Infinite-Horizon Value Function Approximation for Model Predictive Control
  2025/2/1
• Differentiable Simulation of Soft Robots with Frictional Contacts
  2025/1/1
• End-to-End and Highly-Efficient Differentiable Simulation for Robotics
  2024/9/1
• From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach
  2024/5/1
• Parallel and Proximal Constrained Linear-Quadratic Methods for Real-Time Nonlinear MPC
  2024/5/1
• CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization
  2023/12/1
• Risk-Sensitive Extended Kalman Filter
  2023/5/1
• Contact Models in Robotics: a Comparative Analysis
  2023/4/1
• MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
  2022/12/1
• Constrained Differential Dynamic Programming: A primal-dual augmented Lagrangian approach
  2022/10/1
• ProxNLP: a primal-dual augmented Lagrangian solver for nonlinear programming in Robotics and beyond
  2022/10/1
• Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control
  2022/9/1
• Differentiable Collision Detection: a Randomized Smoothing Approach
  2022/9/1
• Augmenting differentiable physics with randomized smoothing
  2022/6/1
• Collision Detection Accelerated: An Optimization Perspective
  2022/5/1
• Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems
  2022/3/1
• Learning to Manipulate Tools by Aligning Simulation to Video Demonstration
  2021/11/1
• Single-view robot pose and joint angle estimation via render & compare
  2021/4/1
• Exponential Integration for Efficient and Accurate Multi-Body Simulation with Stiff Viscoelastic Contacts
  2021/1/1
• Learning Obstacle Representations for Neural Motion Planning
  2020/8/1
• Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control
  2019/9/1
• Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
  2019/4/1
• Differential Dynamic Programming for Multi-Phase Rigid Contact Dynamics
  2019/4/1