M. Guilbert

Université de Sherbrooke, Stäubli (France)

Papers

Total Citations

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About

M. Guilbert is a robotics researcher whose work bridges perception, motion planning, and the physical realities of robot operation. His key research areas include multi-robot coordination, optimal trajectory generation, and the integration of real-world physical constraints into robotic control. Guilbert’s most influential contribution, "Dynamic robot formations using directional visual perception" (2003, 48 citations), pioneered a vision-based approach to robot formations, demonstrating how robots can maintain coordinated movement using only directional visual cues—a significant step toward decentralized, perception-driven swarms. This work has been foundational for researchers exploring minimal-communication multi-robot systems. In subsequent studies, Guilbert tackled the often-overlooked challenge of thermal constraints in manipulator robots. His 2006 paper on "Optimal Trajectory Generation for Manipulator Robots under Thermal Constraints" (8 citations) and his 2008 work on "Optimization of Complex Robot Applications under Real Physical Limitations" (6 citations) introduced methods for generating minimum-time velocity profiles that respect motor heating limits. These contributions are particularly valuable for industrial robotics, where thermal management directly impacts cycle times and system longevity. Guilbert’s research stands out for its practical focus on bridging theoretical optimization with the messy constraints of real hardware, making his work essential reading for engineers designing robust, high-performance robotic systems.