Jean-Philippe Gayon

Université Clermont Auvergne, Centre National de la Recherche Scientifique

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About

Jean-Philippe Gayon is a researcher specializing in robotics logistics, fleet optimization, and cooperative autonomous systems, with a particular focus on the mathematical modeling of robot fleets in warehouse and transportation environments. His work addresses a critical challenge in modern logistics: determining the optimal composition and sizing of heterogeneous robot fleets capable of collaborating to handle loads of varying sizes and types. Gayon's most significant contributions center on developing analytical frameworks for sizing cooperative and reconfigurable robot fleets. His research demonstrates how elementary robots can be dynamically combined to transport heterogeneous loads efficiently, providing both theoretical foundations and practical sizing methodologies. His 2022 paper on cooperative and reconfigurable robot fleets has garnered 9 citations, while complementary works from 2021 on homogeneous and heterogeneous fleet sizing have each accumulated notable attention from the robotics and operations research communities. More recently, Gayon extended this research into the Pickup and Delivery Problem with Cooperative Robots (PDP-CR), addressing the combinatorial complexity that arises when tasks require multi-robot coordination. With a growing citation record across a focused body of work, Gayon is establishing himself as an emerging voice in autonomous warehouse logistics optimization, bridging operations research and robotics engineering in increasingly relevant ways.