Papers
3
Total Citations
39
H-Index
3
About
Pierre Laguillaumie is a leading researcher in robotic manipulation and control systems, with a focus on bio-inspired mechatronics and human-robot interaction. His most notable contribution is the design of a novel tendon-driven dexterous robotic hand, detailed in his highly cited 2018 paper (20 citations), which enables fine in-hand manipulation—a rare capability among human-sized robotic hands. This work addresses a critical challenge in adaptive grasping and object manipulation, advancing the field of dexterous robotics. Laguillaumie also developed the RTRobMultiAxisControl framework (2019, 15 citations), a real-time multiaxis and multirobot control system that supports complex collaborative tasks in industrial and service applications, enhancing human-robot cooperation. His research on motion capture for industrial robot imitation (2015, 4 citations) further demonstrates his commitment to bridging human dexterity with robotic precision. With a career centered on pushing the boundaries of robotic hand design and control, Laguillaumie’s work has significant implications for automation, assistive technologies, and manufacturing, making him a key figure in modern robotics.
Research Focus
Key Achievements
Top Papers
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- 3From Human Motion Capture to Industrial Robot Imitation4 citations · 2015