Pascal Bouvry

University of Luxembourg, Recherches Scientifiques Luxembourg

Papers

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About

Pascal Bouvry is a leading figure in the intersection of swarm intelligence, autonomous robotics, and complex systems, with a particular focus on the coordination of Unmanned Aerial Vehicles (UAVs). His most influential work tackles the critical challenge of enabling autonomous UAV swarms to operate safely and efficiently in shared airspace. Bouvry’s landmark paper, “Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control” (64 citations), introduces a novel mobility model that fuses chaotic ant colony optimization (CACOC) with Model Predictive Control (MPC). This hybrid approach allows a swarm to explore an area thoroughly while dynamically predicting and avoiding collisions, a fundamental breakthrough for real-world deployment. Expanding on this, his work on “Area exploration with a swarm of UAVs combining deterministic chaotic ant colony mobility with position MPC” (26 citations) further refines the coordination between exploration and safety. Beyond UAVs, Bouvry has also contributed to the evolution of cloud computing paradigms. His research is characterized by a deep integration of bio-inspired algorithms with rigorous control theory, creating robust, scalable solutions for autonomous systems. With a growing citation impact, Bouvry’s work is essential reading for anyone interested in the future of autonomous drone swarms, from search-and-rescue to environmental monitoring.