| Leveraging randomized smoothing for optimal control of nonsmooth dynamical systems Q Le Lidec, F Schramm, L Montaut, C Schmid, I Laptev, J Carpentier Nonlinear Analysis: Hybrid Systems 52 (1751-570X), 101468, 2024 | 34 | 2024 |
| ProxQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond A Bambade, F Schramm, S El-Kazdadi, S Caron, A Taylor, J Carpentier IEEE Transactions on Robotics, 2025 | 24 | 2025 |
| Reactive stepping for humanoid robots using reinforcement learning: Application to standing push recovery on the exoskeleton atalante A Duburcq, F Schramm, G Boéris, N Bredeche, Y Chevaleyre 2022 IEEE/RSJ international conference on intelligent robots and systems …, 2022 | 16 | 2022 |
| QPLayer: efficient differentiation of convex quadratic optimization A Bambade, F Schramm, A Taylor, J Carpentier ICLR 2024 - The Twelfth International Conference on Learning Representations, 2024 | 15* | 2024 |
| Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning A Bambade, F Schramm, A Taylor, J Carpentier ICLR 2024 - The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| End-to-end and highly-efficient differentiable simulation for robotics QL Lidec, L Montaut, Y de Mont-Marin, F Schramm, J Carpentier arXiv preprint arXiv:2409.07107, 2024 | 4 | 2024 |
| Companion Report of PROXQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond A Bambade, F Schramm, S El Kazdadi, S Caron, A Taylor, J Carpentier INRIA, 2023 | 1 | 2023 |
| Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning FN Tiofack, T Le Hellard, F Schramm, N Perrin-Gilbert, J Carpentier arXiv preprint arXiv:2512.03973, 2025 | | 2025 |
| Reference-Free Sampling-Based Model Predictive Control F Schramm, P Fabre, N Perrin-Gilbert, J Carpentier arXiv preprint arXiv:2511.19204, 2025 | | 2025 |
| First-order Sobolev Reinforcement Learning F Schramm, N Perrin-Gilbert, J Carpentier arXiv preprint arXiv:2511.19165, 2025 | | 2025 |
| Sampling-Based Global Optimal Control and Estimation via Semidefinite Programming A Groudiev, F Schramm, É Berthier, J Carpentier, F Dümbgen arXiv preprint arXiv:2507.17572, 2025 | | 2025 |
| Methods for Training a Neural Network and for Using Said Neural Network to Stabilize a Bipedal Robot A DUBURCQ, F SCHRAMM, Y CHEVALEYRE, N BREDECHE, G BOERIS US Patent App. 18/841,021, 2025 | | 2025 |
| Highly-Efficient Differentiable Simulation for Robotics Q Le Lidec, L Montaut, Y de Mont-Marin, F Schramm, J Carpentier | | |
| Interplay between Optimal Control and Reinforcement Learning for Agile Locomotion and Dexterous Manipulation in Robotics F Schramm, N Perrin-Gilbert, J Carpentier | | |
Justin CarpentierResearch Scientist, Inria - École Normale Supérieure, ParisVerified email at inria.fr
