Welcome to the Inria Paris Robotics Lab! Our platform hosts a diverse range of robots (see here).
Our research spans across a wide range of fields from “classical robotics”, with trajectory optimization, model predictive control, state estimation,… to computer vision or deep and reinforcement learning for end-to-end methods.
| Latest publications | |
|---|---|
| UR5 | Guardian: Detecting Robotic Manipulation Failures with Vision-Language Models
Paul Pacaud, Ricardo Garcia, Shizhe Chen, Cordelia Schmid WACV, 2027 |
| Upkie | Collision avoidance from monocular vision trained with novel view synthesis
Valentin Tordjman--Levavasseur, Stéphane Caron IROS, 2026 |
| Go2 | Reference-Free Sampling-Based Model Predictive Control
Fabian Schramm, Pierre Fabre, Nicolas Perrin-Gilbert, Justin Carpentier ICRA, 2026 |
| See more... | |