Papers
9
Total Citations
114
H-Index
5
About
Fabien Claveau is a robotics researcher whose work centers on the control and estimation of cable-driven parallel robots (CDPRs) and autonomous mobile systems. His primary contributions lie in developing robust control strategies for CDPRs handling highly variable payloads—up to 700 kg—in pick-and-place operations. Claveau’s 2018 paper on pulley and force sensor influence on payload estimation (31 citations) established foundational methods for real-time mass and center-of-mass determination, critical for robust control. He advanced this with a new control scheme balancing sliding mode and linear feedback (19 citations) and a control solution for highly variable payloads (14 citations). His stiffness-oriented tension distribution algorithm (14 citations) further optimized CDPR performance. Beyond cable robots, Claveau has addressed real-time motion planning for autonomous mobile robots under wheel-ground adhesion constraints (5 citations) and stochastic LQ control over lossy channels (4 citations). His work bridges theoretical control design with practical heavy-load applications, making him a notable figure in industrial robotics and automation.
Research Focus
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- 9Real Time Motion Generation for Mobile Robot2 citations · 2019