About

Antoine Eon is a robotics researcher whose work sits at the intersection of human motion analysis, humanoid locomotion, and industrial robotics. He is best known for his pioneering contributions to motion capture-driven humanoid robot control, developing methods that translate recorded human movement into adaptable gait trajectories for robotic platforms such as the HRP-2 and HOAP-3. His most cited work, "From Human Motion Capture to Humanoid Locomotion Imitation" (2010, 22 citations), established a robust framework using 37 reflective markers to capture full-body human motion and retarget it to robots of differing morphologies — a challenge requiring sophisticated kinematic adaptation techniques. This research strand extended into auto-adaptable algorithms capable of generalizing human-like locomotion across multiple humanoid systems, reflecting a commitment to versatile, scalable solutions. Beyond humanoid research, Eon demonstrated breadth by contributing to industrial robotics, notably co-developing a patented five-axis printing robot capable of producing high-resolution images on large three-dimensional surfaces. Collectively, his publications have garnered nearly 50 citations, and his early work on humanoid slalom reproduction remains a notable demonstration of complex, real-world motion imitation in legged robots.

Research Focus

Key Achievements

3
H-Index
4
Papers
49
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
From human motion capture to humanoid locomotion imitation Application to the robots HRP-2 and HOAP-3
22 citations · 2010
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Centre National de la Recherche Scientifique, École Nationale Supérieure de Mécanique et d'Aérotechnique, Université de Poitiers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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