Papers
6
Total Citations
104
H-Index
5
About
Etienne Picard is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a specific focus on industrial applications requiring heavy payload handling. His work centers on the critical challenge of pick-and-place operations for heterogeneous objects, particularly metal plates weighing up to 700 kg in naval sector contexts. Picard’s major contributions include pioneering robust control schemes that balance sliding mode and linear feedback to manage highly variable payloads, as well as developing innovative tension distribution algorithms oriented toward stiffness optimization. His most cited work, “Pulleys and Force Sensors Influence on Payload Estimation of Cable-Driven Parallel Robots” (2018, 31 citations), addresses the real-time estimation of payload mass and center of mass—an asset for robust control. His thesis (2019) further consolidates these advances, covering both suspended and fully constrained CDPR configurations for industrial tasks. With over 100 total citations across his key publications, Picard has established himself as a specialist in making CDPRs viable for demanding industrial environments, bridging the gap between theoretical control design and practical implementation in sectors like naval manufacturing and maintenance.
Research Focus
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