Shuhai Liu
Papers
19
Total Citations
270
H-Index
10
About
Shuhai Liu is a prominent robotics researcher whose work spans two interconnected domains: pipeline inspection robotics and soft robotic hands. His early contributions focused on advancing fluid-driven pipeline robots, with foundational studies examining frictional resistance in gas pipelines (42 citations) and stress analysis of sealing cups in dented oil and gas pipelines (51 citations, his most-cited work). These investigations laid critical groundwork for safer, more efficient pipeline inspection gauge (PIG) technology, further refined through innovations in 3D-printed bio-inspired sealing discs and controllable multi-airbag designs. Liu's research evolved to encompass intelligent robotic systems, including multi-robot platforms employing particle swarm optimization for offshore gas leak detection (29 citations). Increasingly, his scholarship has turned toward anthropomorphic soft robotic hands, where he has made notable strides in dexterity, adaptability, and biomimicry. His multijointed pneumatic soft hand (27 citations), fingerprint-inspired gripper surfaces, and the Dexterous All-Soft Hand (DASH) with an active palm collectively push boundaries in human-hand replication. His 2024 review of sensing and machine learning in soft hands signals his continued leadership in this rapidly evolving field. Across more than a decade of research, Liu's cumulative citation record reflects meaningful, practical impact on both industrial robotics and next-generation manipulation systems.
Research Focus
Key Achievements
Top Papers
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- 4Multijointed Pneumatic Soft Hand with Flexible Thenar27 citations · 2021
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- 6Anthropomorphic Soft Hand: Dexterity, Sensing, and Machine Learning15 citations · 2024
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