Jean-Marc Petit

Université Claude Bernard Lyon 1, Institut National des Sciences Appliquées de Rennes, Centre National de la Recherche Scientifique

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About

Jean-Marc Petit is a leading researcher at the intersection of robotics, database management systems, and human-centric monitoring. His work focuses on developing autonomous multi-robot systems that leverage service-oriented DBMS architectures for real-time human monitoring and safety applications. Petit’s most significant contributions include pioneering low-cost autonomous mobile robot systems that use skeleton data clustering to assess fall risk in elderly or vulnerable individuals. His 2014 paper on facilitating monitoring systems with low-cost robots has garnered 9 citations, while his 2015 work on skeleton clustering for fall risk discovery also achieved 9 citations. Petit’s innovative approach integrates multiple robots equipped with Kinect sensors to monitor human subjects from optimal angles and distances, controlled through a service-oriented DBMS. His multi-view onboard clustering method for fall risk discovery (2014, 6 citations) represents a notable achievement in combining database management with real-time robotic perception. Petit’s work has significant implications for assistive technology and healthcare monitoring, demonstrating how database-driven coordination can enhance autonomous robotic systems for human safety.