Safe Robot Learning for Parallel Robots
Safe and adaptive control for compliant parallel robots in physical human-robot interaction.
My current PhD research focuses on safe and adaptive robot learning for parallel robotic systems, with an emphasis on physical human–robot interaction.
I am particularly interested in combining reinforcement learning, world models, impedance control, and control-theoretic safety methods to enable robots to operate safely and compliantly in uncertain and contact-rich environments.
This project is ongoing at Université Laval.