Papers

15

Total Citations

329

H-Index

10

About

Philippe Lemoine is a leading researcher in robotics, specializing in dynamic modeling, identification, and control of robotic manipulators and parallel kinematic machines. His major contributions include developing methods to identify payload inertial parameters for industrial manipulators—a critical advancement for improving dynamic accuracy in robotic systems—and pioneering vision-based computed torque control for parallel kinematic machines, demonstrated on the Orthoglide robot. Lemoine’s work on cable-driven parallel robots (CDPRs) has advanced vibration reduction and feed-forward control using input-shaping filters, enhancing precision in complex robotic systems. His research is highly cited, with his 2007 paper on payload identification garnering 114 citations, and his open-source software package OpenSYMORO (45 citations) enabling symbolic robot modeling for the broader research community. Lemoine has also contributed to bio-inspired robotics, such as the eel-like robot project, and trajectory planning for the Orthoglide 5-axis. His achievements reflect a sustained impact on both theoretical and applied robotics, making his work essential for students and researchers in dynamic modeling, control, and parallel robotics.

Research Focus

Key Achievements

10
H-Index
15
Papers
329
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Identification of the payload inertial parameters of industrial manipulators
114 citations · 2007
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Centre National de la Recherche Scientifique, École Centrale de Nantes

Top Papers

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    The Eel-Like Robot
    13 citations · 2009
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Key Collaborators

Contact & Links

Available for collaboration
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