F. Benimeli
Papers
7
Total Citations
147
H-Index
4
About
F. Benimeli is a robotics researcher whose work centers on robot dynamics, parameter identification, and real-time control systems for industrial manipulators. Best known for contributions to dynamic parameter identification, Benimeli's most influential paper, "Dynamic parameter identification in industrial robots considering physical feasibility" (2005), has garnered 73 citations and addresses a critical challenge in robotics: ensuring that identified dynamic parameters remain physically meaningful for open-chain manipulators. This work laid important groundwork for accurate inverse dynamics-based control and simulation. A follow-up comparative study (2006, 45 citations) further clarified the trade-offs between direct and indirect identification methods, becoming a useful reference for researchers designing identification procedures. Benimeli also contributed an efficient recursive algorithm based on Gibbs-Appell equations for solving inverse dynamics in real time on low-cost hardware, demonstrating a practical engineering orientation. Later work extended these dynamic modeling methods to direct dynamic problems and explored emerging technologies including low-cost 3D vision systems and Kalman filtering for robotic arm tracking and human-robot interaction. A notable applied contribution involved force-controlled robotic testing of fabrics in automotive seating contexts, reflecting versatility across domains. Collectively, Benimeli's research bridges theoretical rigor with real-world implementation in industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 4Real‐time solving of dynamic problem in industrial robots6 citations · 2011
- 5Kalman Filter for Tracking Robotic Arms Using low cost 3D Vision Systems4 citations · 2012
- 6Human robot interaction and tracking using low cost 3D vision systems3 citations · 2012
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