F. Michaud

Papers

Total Citations

220

H-Index

About

F. Michaud is a leading researcher in mobile robotics and intelligent transportation systems, with key contributions spanning robot audition and automated vehicle platooning. His most cited work, "Enhanced robot audition based on microphone array source separation with post-filter" (2005, 136 citations), introduced a groundbreaking system that enables mobile robots to separate simultaneous sound sources in real time. By combining geometric source separation with a dedicated post-filter, Michaud significantly reduced acoustic interference, advancing human-robot interaction in noisy environments. In the domain of automated driving, his 2006 paper "Coordinated Maneuvering of Automated Vehicles in Platoons" (75 citations) formulated the critical information-sharing requirements for safe and efficient platoon maneuvers, addressing sensing and communication constraints. This work laid foundational principles for cooperative vehicle control. Michaud also explored sensor integration for intelligent transportation, as seen in his 2004 study on sensor combinations for platoon control. With over 220 total citations across these seminal papers, Michaud’s research has shaped both robotic perception and autonomous vehicle coordination, offering practical solutions for real-world deployment. His interdisciplinary approach—bridging acoustic signal processing and vehicular control—continues to inspire innovations in autonomous systems and collaborative robotics.