Shaowen Cheng

Zhejiang Institute of Mechanical and Electrical Engineering, Zhejiang University of Science and Technology

Papers

Total Citations

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About

Shaowen Cheng is a leading researcher in the field of robotic manipulation and anthropomorphic hand design, with a focus on bridging the gap between human and machine dexterity. His work centers on developing advanced prosthetic and humanoid hands that can replicate the intricate capabilities of the human hand, addressing challenges in grasp power, speed, and adaptability. Cheng’s most notable contribution is the twisted-string-driven da Vinci’s mechanism, a novel approach that enables anthropomorphic hands to achieve near-human levels of dexterity and grasping force, as detailed in his 2022 paper (7 citations). He has also pioneered deep learning-based control frameworks for dynamic contact processes in humanoid grasping (2024, 3 citations), enhancing robot adaptability in unpredictable environments. Additionally, his shared control architecture for efficient grasping (2024, 2 citations) tackles the complexities of human-robot interaction in unstructured tasks. With a growing citation impact, Cheng’s innovations are shaping the future of prosthetics and humanoid robotics, offering transformative solutions for assistive technology and autonomous systems.