Maryline Chetto

École Centrale de Nantes, Laboratoire d'informatique de Nantes Atlantique, Centre National de la Recherche Scientifique

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About

Maryline Chetto’s research lies at the intersection of real-time embedded systems, energy-aware computing, and autonomous robotics. She is best known for pioneering work on energy-neutral Cyber-Physical-Social Systems (CPSS), where collaborative robots (cobots) must balance stringent timing constraints with battery autonomy. Her most-cited paper, “A concept of dynamically reconfigurable real-time vision system for autonomous mobile robotics” (2008, 14 citations), introduced adaptive vision architectures that allow robots to trade off processing accuracy for energy savings—a foundational idea for sustainable robotics. Chetto also advanced color region segmentation for mobile robotic navigation, developing a “clear box” evaluation methodology that systematically benchmarks vision algorithms under real-time constraints. Her recent work on energy-neutral CPSS (2021) tackles the critical challenge of minimizing cobot energy consumption while guaranteeing deadline satisfaction, directly addressing industry 4.0’s need for long-lasting, autonomous collaborators. Though her citation counts are modest, Chetto’s contributions are notable for their practical, system-level approach: she bridges low-level vision processing with high-level real-time scheduling, offering concrete design principles for energy-efficient, responsive robots. Her research is particularly valuable for students and engineers working on embedded vision systems or power-aware robotics.