Nicolas Lesne
Papers
3
Total Citations
12
H-Index
2
About
Nicolas Lesne is a robotics researcher whose work centers on the design, fabrication, and intelligent control of advanced robotic hand systems. He is best known for his contributions to the development of 3D printed ambidextrous robot hands actuated by pneumatic artificial muscles — a field that sits at the intersection of soft robotics, additive manufacturing, and control engineering. His 2015 paper on this topic stands as his most influential work, accumulating 7 citations and establishing a foundation for subsequent research into multi-finger dexterous manipulation applicable to tele-operation, industrial automation, mobile robotics, and biomedical systems. Building on this hardware platform, Lesne has systematically explored a range of control strategies, comparing classical approaches such as PID and Bang–Bang controllers with more sophisticated methods including Backstepping control and Neural Network-based systems. His 2017 investigation into Neural Network controllers highlights his interest in biologically inspired approaches that mimic the human hand's remarkable ability to perform precise tasks without exhaustive prior knowledge. Collectively, his publications demonstrate a coherent research trajectory aimed at making robotic hands more capable, adaptable, and practically deployable — making his work valuable reading for students and researchers working in humanoid robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
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