About

Antoine Petit is a computer vision and robotics researcher whose work spans two interconnected domains: vision-based object tracking and robotic manipulation of deformable objects. He has made significant contributions to the field of 3D model-based tracking, developing robust algorithms capable of estimating camera pose relative to textureless and complex objects by combining complementary edge, keypoint, and color features — work that has garnered considerable attention, with individual papers cited up to 60 times. A defining thread in Petit's research is the application of RGB-D sensing to track elastically deforming objects in real time, a technically demanding challenge with direct relevance to robotic manipulation. His pizza chef robot project exemplifies this vision — bridging fundamental computer vision research with practical humanoid robotics applications. His vision-based navigation work for autonomous space rendezvous, validated on satellite mock-ups, demonstrates the breadth of environments in which his tracking methods apply, accumulating nearly 50 citations per study. More recently, Petit has contributed to nonprehensile dynamic manipulation through the RoDyMan project and explored calibration and force sensing for soft robots using external vision systems. Across his career, his research consistently pushes the boundary between perception and physical interaction, making him a noteworthy figure in applied robotics and computer vision.

Research Focus

Key Achievements

9
H-Index
11
Papers
329
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Real-time tracking of 3D elastic objects with an RGB-D sensor
60 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Ingegneria dei Trasporti (Italy), University of Naples Federico II, Centre Inria de l'Université de Rennes, Institut national de recherche en sciences et technologies du numérique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago