Arnaud Decatoire

Centre National de la Recherche Scientifique, Institut Pprime, Université de Poitiers

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About

Arnaud Decatoire is a leading researcher at the intersection of human motion analysis, virtual reality, and robotic teleoperation. His work focuses on bridging the gap between human dexterity and robotic manipulation, with key contributions in hand-tracking systems and human-robot interaction. Decatoire’s most influential paper, “Evaluation of Hand-Tracking Systems in Teleoperation and Virtual Dexterous Manipulation” (2019), with 50 citations, provides critical insights into how fingertip control quality affects stable grasps and inside-hand manipulation in both real and virtual environments—a foundational study for advancing teleoperation and virtual reality applications. He also developed the PLAViMoP database (2022), a continuously assessed, collaborative 3D point-light display dataset that enables standardized human motion analysis, garnering 14 citations. His earlier work includes identifying upper limb motion specifications via visual tracking for robot-assisted exercising (2018, 5 citations) and pioneering methods for transferring human motion capture to industrial robot imitation (2015, 4 citations). Decatoire’s research directly impacts rehabilitation robotics, virtual dexterous manipulation, and industrial automation, making him a notable figure in human-centered robotics and biomechanics.