Karim Ben Chehida

Laboratoire d'Intégration des Systèmes et des Technologies, Commissariat à l'Énergie Atomique et aux Énergies Alternatives

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About

Karim Ben Chehida is a researcher at the forefront of autonomous mobile robotics, specializing in run-time adaptation, Quality of Service (QoS) management, and energy efficiency. His work addresses a critical challenge in the field: mobile robots operating under severe resource constraints—limited computing power and battery life—while navigating dynamic, unpredictable environments. Chehida’s major contribution lies in developing intelligent, learning-driven frameworks that enable robots to autonomously adapt their mission parameters in real time, balancing performance with energy conservation. His most cited work, “Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots” (2018, 10 citations), established foundational principles for multi-objective resource management. He advanced this with a learning-based approach in “QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach” (2019), demonstrating how adaptive decision-making can sustain mission effectiveness despite environmental volatility. Although his citation counts are modest, Chehida’s research is pivotal for next-generation autonomous systems—from search-and-rescue to planetary exploration—where robots must operate reliably without human intervention. His work represents a critical step toward truly self-sufficient robotic platforms.