Dominique Bonvin
École Polytechnique Fédérale de Lausanne, École Normale Supérieure - PSL
Papers
6
Total Citations
82
H-Index
5
About
Dominique Bonvin is a leading figure in robotics and control systems, with a career focused on advancing the autonomy and precision of robotic motion. His primary research areas include nonlinear control, path-following optimization, and distributed robotics. Bonvin’s most influential contribution is the development of velocity-scheduling control for nonholonomic mobile robots, a technique that improves upon classical dynamic feedback linearization by using a higher-dimensional state extension to reject constant disturbances on the rotational axis. This work, detailed in his most-cited paper (49 citations), has been experimentally validated on unicycle robots, demonstrating its practical robustness. He has also made significant strides in data-driven controller tuning, where his non-iterative correlation-based method with guaranteed H∞ stability (10 citations) was successfully applied to a direct-drive pick-and-place robot. Bonvin further addressed time-optimal path-following under uncertainty (7 citations), a critical challenge for autonomous vehicles and manufacturing. His earlier research on distributed robot plans using timed Petri nets (5 citations) introduced novel methods for achieving synergetic behavior in flexible production environments. Through these contributions, Bonvin has shaped modern approaches to robot control, bridging theory and real-world application.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Time-optimal path-following operation in the presence of uncertainty7 citations · 2016
- 4A Two-Time-Scale Control Scheme for Fast Unconstrained Systems6 citations · 2007
- 5Velocity Scheduling Controller for a Nonholonomic Mobile Robot5 citations · 2006
- 6