Kevin Desormeaux

Centre National de la Recherche Scientifique

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About

Kevin Desormeaux is a leading researcher in human-robot interaction and real-time motion planning, specializing in the development of safe, reactive robotic behaviors for collaborative environments. His work addresses a critical challenge in modern robotics: enabling machines to respond instantaneously and safely to unpredictable human actions. Desormeaux’s most impactful contribution is the introduction of smooth cubic polynomial trajectories for human-robot interactions, a method that allows robots to generate fluid, jerk-free motions while maintaining strict kinematic constraints. His 2018 paper on this topic has garnered 36 citations, establishing a foundational approach for reactive control in shared workspaces. In his subsequent work on Online Trajectory Generation (OTG), Desormeaux advanced the field by demonstrating how simple cubic polynomial models can be used to plan and control reactive motions that return to an admissible kinematic domain after disturbances. This research is pivotal for industrial and service robotics, where seamless human-robot collaboration demands both speed and safety. Desormeaux’s contributions continue to influence the design of adaptive, human-aware robotic systems, making him a key figure in the evolution of interactive robotics.