Louis Rouillard

Papers

Total Citations

H-Index

About

Louis Rouillard is a robotics researcher specializing in autonomous systems, optimal control, and vision-based tracking. His most cited work, "Autonomous Air-Hockey Playing Cobot Using Optimal Control and Vision-Based Bayesian Tracking" (2019, 14 citations), demonstrates a pioneering integration of collaborative robotics (cobots) with real-time decision-making. In this study, Rouillard developed a system where a robot not only tracks a fast-moving puck using Bayesian filtering but also employs optimal control strategies to intercept and return it—a challenging task requiring precise coordination between perception and action. This contribution highlights his expertise in bridging theoretical control algorithms with practical robotic applications, particularly in dynamic, interactive environments. While his citation count reflects the niche yet innovative nature of his work, Rouillard’s research has implications for human-robot collaboration, real-time tracking, and adaptive automation. His approach to combining cobot safety with high-speed performance offers a compelling model for future applications in manufacturing, assistive robotics, and interactive entertainment. Rouillard’s work stands as a testament to the potential of merging optimal control theory with robust vision systems to create responsive, intelligent machines.