Michel Auguin

Centre National de la Recherche Scientifique

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About

Michel Auguin’s research lies at the intersection of autonomous mobile robotics, quality of service (QoS) management, and energy-efficient computing. His work addresses a critical challenge: how to enable mobile robots to adapt their behavior in real time when faced with limited onboard resources—such as processing power and battery life—and unpredictable environmental conditions. Auguin’s major contributions include the development of a multi-mission QoS and energy manager for autonomous robots, a framework that intelligently balances performance and power consumption during operation. His most cited paper, “Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots” (2018), has garnered 10 citations and established a foundation for adaptive resource management in robotics. Building on this, his 2019 work “QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach” introduced machine learning techniques to enable robots to make autonomous, dynamic decisions that optimize both mission success and energy usage. Though early in his career, Auguin’s contributions are shaping the next generation of resilient, self-aware robotic systems capable of operating reliably in the field.