Maxime Brunet — accepted AI-conference papers

2025

Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis

Kejun Li, Jeeseop Kim, Maxime Brunet, Marine Pétriaux, Yisong Yue, Aaron D. Ames

IROS 2025

Robust bipedal locomotion in exoskeletons requires the ability to dynamically react to changes in the environment in real time. This paper introduces the hybrid data-driven predictive control (HDDPC) framework, an extension of the data-enabled predictive control, that addresses these challenges by s

Cited by 0 Source ↗Scholar ↗

2023

Enabling safe walking rehabilitation on the exoskeleton Atalante: experimental results

Maxime Brunet, Marine Pétriaux, Florent Di Meglio, Nicolas Petit

ICRA 2023poster

This paper exposes a control architecture enabling rehabilitation of walking impaired patients with the lower-limb exoskeleton Atalante. Atalante's control system is modified to allow the patient to contribute to the walking motion through their efforts. Only the swing leg degree of freedom along th…

Cited by 1 Source ↗Scholar ↗