About

B. Faverjon is a pioneering roboticist whose work has fundamentally shaped motion planning and manipulation. His research centers on developing algorithms for collision-free path planning, particularly for high-degree-of-freedom manipulators and complex environments. Faverjon’s major contributions include a local approach to path planning that separates task description from anti-collision constraints, enabling precise control of manipulator motions. His seminal paper on this topic has garnered 281 citations. He also introduced an octree-based method for obstacle avoidance in configuration space (211 citations), a practical exact motion planning algorithm for polygonal objects (144 citations), and a force-closure grasp algorithm for curved 2D objects (118 citations). His early work on efficient stereo image registration (189 citations) and object-level programming for industrial robots further demonstrates his breadth. With over 1,100 total citations across his top papers, Faverjon’s influence is evident in both theoretical foundations and practical systems like the ACT robot programming environment. His hierarchical object models for anti-collision and mixed approaches to motion planning remain highly relevant for modern robotics applications.

Research Focus

Key Achievements

10
H-Index
14
Papers
1,130
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
A local based approach for path planning of manipulators with a high number of degrees of freedom
281 citations · 2005
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Institut national de recherche en sciences et technologies du numérique, Centre de Recherche en Informatique, SurgiMedia (France), Fondation Sophia Antipolis

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago