About

Xavier Savatier is a leading researcher in robotics and computer vision, with a focus on autonomous navigation, motion capture, and human-robot collaboration. His most cited work, "A Study of Vicon System Positioning Performance" (416 citations), has become a foundational reference for motion capture applications across biomechanics, clinical gait analysis, and robotics. Savatier has made major contributions to industrial and agricultural robotics, developing vision-based systems for robot localization in large environments and LiDAR-based structure tracking for autonomous vineyard navigation. He led the VIKINGS autonomous inspection robot, which won competitions in the ARGOS Challenge for oil and gas site inspection. His innovative work on omnidirectional and plenoptic cameras has advanced real-time 3D reconstruction and navigation, while his InHARD dataset (63 citations) addresses human action recognition for collaborative robotics. Savatier’s research bridges the gap between perception and autonomy, with applications ranging from autonomous cars to industrial safety. His work on sensor fusion—combining omnidirectional, PTZ, and stereoscopic systems—has been instrumental in enabling robots to operate in complex, unstructured environments, making him a key figure in the evolution of autonomous systems.

Research Focus

Key Achievements

8
H-Index
19
Papers
710
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
A Study of Vicon System Positioning Performance
416 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: École Supérieure d'Ingénieurs en Génie Électrique, Université de Rouen Normandie, Normandie Université, Institut de Recherche sur les Systèmes Atomiques et Moléculaires Complexes, Institut de Recherche en Systèmes Electroniques Embarqués, Embedded Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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