Papers
31
Total Citations
646
H-Index
13
About
Zhufeng Shao is a leading figure in the field of cable-driven parallel robotics, with a research focus on the design, optimization, and control of high-performance CDPRs for industrial and rehabilitation applications. His work bridges fundamental theory and practical implementation, notably through comprehensive studies on dynamic performance, kinematic calibration, and workspace analysis. Shao’s most cited paper, a 2022 state-of-the-art review on CDPR theories and applications (104 citations), has become a key reference for the community. He has made significant contributions to high-speed pick-and-place robots, including the X4 parallel robot (101 citations) and a translational CDPR with passive springs (79 citations), demonstrating his ability to enhance speed, precision, and structural simplicity. Shao has also pioneered CDPRs for real-world tasks, such as building exterior wall cleaning (30 citations) and full-cycle ankle rehabilitation (18 citations), showcasing the versatility of his designs. His work on a cable-driven upper arm exoskeleton (29 citations) further highlights his impact in medical robotics. With over 500 total citations, Shao’s research continues to shape the evolution of cable-driven systems, offering innovative solutions for automation, healthcare, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1State-of-the-art on theories and applications of cable-driven parallel robots104 citations · 2022
- 2Dynamic performance analysis of the X4 high-speed pick-and-place parallel robot101 citations · 2016
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- 5Optimal Design of a High-Speed Pick-and-Place Cable-Driven Parallel Robot34 citations · 2017
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- 7Optimal Design of a 3-DOF Cable-Driven Upper Arm Exoskeleton29 citations · 2014
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