Papers

2

Total Citations

13

H-Index

1

About

Benjamin Boudon is a robotics researcher whose work centers on the kinematic and dynamic modeling of advanced robotic manipulators, with a particular emphasis on parallel architectures. His primary contributions lie in developing mathematical frameworks to identify and characterize geometrical defects in robotic systems, as demonstrated in his most-cited work, "Geometrical defect identification of a SCARA robot from a vector modeling of kinematic joints invariants" (2021, 12 citations). This paper introduces a novel vector-based approach for detecting kinematic joint anomalies, offering a systematic method to improve robot precision and reliability. Boudon also tackles the complex challenge of modeling parallel manipulators that incorporate flexible links and elastic joints, as seen in his 2022 paper, which presents a comprehensive mathematical model accounting for structural compliance driven by electric actuators. By addressing the interplay between flexibility, joint elasticity, and actuation dynamics, his research provides critical insights for designing more accurate and robust robotic systems. Though his citation counts are still growing, Boudon’s work represents a foundational step toward bridging theoretical modeling with practical defect detection in industrial robotics, making him a promising voice in the field of precision mechanisms and parallel manipulator analysis.

Research Focus

Key Achievements

1
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Geometrical defect identification of a SCARA robot from a vector modeling of kinematic joints invariants
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Institut Pascal, Centre National de la Recherche Scientifique

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago