About

C. Milesi-Bellier is a robotics researcher whose work spans two interconnected domains: dexterous robotic grasping and autonomous mobile robot navigation. Their most influential contribution, "Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing" (1995), garnered 30 citations and addressed the challenging problem of automating multifingered grasping in partially known environments by combining stereo vision with motion planning — a significant advance in intelligent manipulation. This thread continued into later work on integrated approaches that link task-level specifications directly to executable grasping strategies, demonstrating a sustained commitment to bridging high-level robot reasoning with physical execution. Milesi-Bellier also made notable contributions to terrain-based mobile robotics, developing a kinematic simulator that translates planner-generated nominal paths into complete, physically feasible trajectories for robots navigating unstructured environments (2002, 14 citations). This was further extended in 2005 through research combining geometric and physical models to ensure both safety and executability in rover motion planning. Collectively, their body of work — accumulating over 50 citations — reflects a consistent focus on making autonomous robots capable of reliable, physically grounded operation across both manipulation and locomotion challenges.

Research Focus

Key Achievements

3
H-Index
4
Papers
53
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing
30 citations · 1995
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Institut national de recherche en sciences et technologies du numérique, Centre Inria de l'Université Grenoble Alpes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago