Papers
8
Total Citations
216
H-Index
6
About
Flavien Paccot is a leading researcher in the dynamic control of parallel kinematic machines (PKMs), with a career spanning foundational robotics theory to applied medical technology. His major contributions challenge conventional serial-robot control paradigms, demonstrating that joint-space control is fundamentally unsuitable for PKMs. Instead, Paccot pioneered vision-based computed torque control in Cartesian space, using fast exteroceptive measurements of the end-effector pose—a breakthrough validated on the Orthoglide robot. His seminal 2009 review, with 154 citations, remains a cornerstone for researchers, systematically showing why classical strategies must be rethought. Paccot’s work also includes a comparative analysis of linear, nonlinear feedforward, and computed torque control strategies, and a generic method for servo tuning based on dynamic modeling. Notably, his recent 2024 paper on a robotic ultrasound system to assist examinations of pregnant women—addressing work-related musculoskeletal disorders in clinicians—marks a compelling translation of his control expertise into healthcare. With over 200 total citations across his most-cited works, Paccot’s research bridges rigorous theoretical insight and practical innovation, making him a key figure for students and engineers exploring advanced robot control.
Research Focus
Key Achievements
Top Papers
- 1
- 2A vision-based computed torque control for parallel kinematic machines25 citations · 2008
- 3Vision-based Computed Torque Control for Parallel Robots12 citations · 2006
- 4Parallel Robots8 citations · 2014
- 5
- 6Revisiting the major dynamic control strategies of parallel robots6 citations · 2007
- 7Parallel Robot3 citations · 2014
- 8