Papers

22

Total Citations

700

H-Index

14

About

Chih-Hsing Liu is a leading researcher in soft robotics, compliant mechanism design, and topology optimization, whose work has fundamentally advanced the field of adaptive robotic grasping. His research focuses on developing intelligent gripper systems capable of handling objects of varying sizes, shapes, and fragility — challenges with significant implications for agricultural automation, manufacturing, and delicate object manipulation. Liu's most celebrated contributions center on the optimal design of compliant robotic grippers. His 2018 paper on underactuated two-finger grippers (117 citations) and its 2020 three-finger successor (103 citations) established topology optimization as a powerful framework for synthesizing monolithic compliant fingers that adapt passively to unknown objects without complex sensing. His exploration of constant-force compliant mechanisms — passive devices that regulate output force without feedback control — has opened new pathways for safe, sensor-free grasping, earning over 128 combined citations across multiple publications. Notably, Liu has pioneered the integration of 3D printing into compliant mechanism fabrication, including innovative multimaterial-like designs achieved by varying infill density during printing. With over 550 total citations across his top works and contributions spanning pneumatic actuators, fruit-harvesting grippers, and explicit dynamic finite element modeling, Liu's research represents a compelling bridge between theoretical optimization methods and practical robotic applications.

Research Focus

Key Achievements

14
H-Index
22
Papers
700
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects
117 citations · 2018
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: National Cheng Kung University, Singapore Institute of Manufacturing Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago