Siyun Liu

Papers

Total Citations

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About

Siyun Liu is a robotics researcher whose work centers on advancing the mechanical design and dexterity of robotic hands and industrial automation systems. Her primary research areas include under-actuated robotic hands, grasping mechanisms, and textile manufacturing robotics. Liu’s major contribution is the development of novel, multi-modal robotic hands that combine coupled, parallel, and self-adaptive grasping capabilities—enabling a single hand to perform a wide range of tasks without complex control systems. Her most-cited paper, “A coupled and indirectly self-adaptive under-actuated hand with double-linkage-slider mechanism” (2019, 14 citations), introduces an innovative finger design that adapts to different object shapes, significantly enhancing versatility. She also contributed to industrial robotics with the “Continuous Vertical-pulling Automatic Doffing Robot for the Ring Spinning” (2019, 2 citations), addressing real-world automation challenges in textile production. Her work on the “Three-joint Coupled, Parallel and Self-adaptive Robot Hand” (2019, 2 citations) further demonstrates her commitment to creating practical, adaptive robotic systems. With a focus on bridging theoretical design and tangible application, Liu’s research has meaningful implications for both advanced manipulation and manufacturing efficiency.