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About

Michel Buffa is a researcher whose work has made meaningful contributions to the field of autonomous mobile robotics, with a particular focus on computer vision, sensor fusion, and navigation systems. His research career spans foundational work in stereo vision-based navigation during the early 1990s, conducted in association with INRIA, through to more sophisticated multisensory approaches in the early 2000s. Buffa's most influential contribution is his 2002 paper on autonomous robot navigation using inertial and visual cues, which has accumulated 28 citations and describes a reactive visual module capable of automatically correcting a robot's trajectory through a fusion of sensory inputs. This multisensorial approach represented a significant step forward in making mobile robots more robust in real-world environments. His earlier work in 1992 and 1993 laid important groundwork by applying stereo vision and Delaunay triangulation to obstacle avoidance and trajectory planning for indoor mobile robots — a technically demanding challenge at the time. His trinocular vision system, capable of delivering real-time 3D environmental maps, demonstrated impressive engineering ambition for its era. Together, these contributions reflect a sustained commitment to advancing intelligent, perception-driven robotic navigation systems.