Fabienne Reynier
Papers
2
Total Citations
25
H-Index
2
About
Fabienne Reynier’s research lies at the intersection of robotics, motion planning, and optimization, with a particular focus on the feasibility and optimal positioning of redundant manipulators in cluttered environments. Her major contributions include developing a global analytical framework for determining whether a redundant robot’s end-effector can follow a continuous trajectory amidst obstacles—a problem she solved comprehensively in her most-cited work (2002, 18 citations). This work not only answers the binary question of feasibility but also enumerates all possible solutions, providing a powerful tool for roboticists. She further advanced the field by introducing a general method for the automatic optimal positioning of robots within a workcell, where the optimization criterion is a function of trajectory feasibility, accounting for static and moving obstacles as well as joint limits (2003, 7 citations). Reynier’s mathematically rigorous definitions and solutions have laid essential groundwork for autonomous robotic manipulation in complex, obstacle-rich environments, making her work a valuable reference for researchers in industrial robotics and motion planning.
Research Focus
Key Achievements
Top Papers
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