Olivier Bruneau

Model predictive game control for personalized and targeted interactive assistance

This paper develops a model-predictive game controller for contact robots to improve human-robot interaction by predicting human control and adapting to individual motor strategies.

EMG-to-torque models for exoskeleton assistance: a framework for the evaluation of in situ calibration

This paper introduces a framework for calibrating and evaluating EMG-to-torque models, including a novel nonlinear model that improves accuracy while maintaining computational efficiency.

Less is more: uncompensated gravity torques for intuitive EMG-based assistance with a robotic exoskeleton

This paper introduces an EMG-based controller for robotic exoskeletons that intentionally leaves gravity torque uncompensated, improving muscle effort reduction and kinematic performance in arm movements.

The value of time in the invigoration of human movements when interacting with a robotic exoskeleton

This study investigates how time and effort tradeoff influences human movement vigor when interacting with a robotic exoskeleton, finding that time cost plays a pivotal role in determining movement vigor across a range of efforts.

Fast reoptimization of human motor patterns in non-Earth gravity fields locally induced by a robotic exoskeleton

The paper shows humans can quickly adapt motor patterns to different gravity conditions using a robotic exoskeleton.