Alexandre Boeuf

Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes

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About

Alexandre Boeuf’s research lies at the intersection of motion planning, robotics, and autonomous aerial systems, with a particular focus on enabling agile, physically realistic maneuvers for quadrotors in constrained environments. His major contributions include developing sampling-based kinodynamic motion planning algorithms that enhance the performance of quadrotor navigation by refining sampling strategies, connection methods, and distance metrics—critical for generating feasible, controllable trajectories in real time. His 2015 paper on this topic has garnered 19 citations, while his 2014 work on planning agile motions for quadrotors, which introduced a local trajectory planner based on a simplified dynamic model, has received 18 citations. Both papers are foundational for researchers working on drone autonomy and high-speed flight in cluttered spaces. Boeuf has also explored the integration of assembly planning with geometric task planning, broadening the scope of robotic manipulation. His work is notable for bridging theoretical planning frameworks with practical, dynamics-aware solutions, making him a key reference for students and engineers developing next-generation autonomous flying robots.