Papers
61
Total Citations
2,119
H-Index
28
About
Zhouping Yin is a versatile robotics and intelligent systems researcher whose work spans medical robotics, flexible electronics, robotic manufacturing, and localization technologies. His research has consistently pushed boundaries across both fundamental science and applied engineering, earning over 1,000 cumulative citations across his most influential publications. Yin's pioneering contributions include the development of magnetic soft microfiberbots for robotic embolization — a groundbreaking 2024 study (165 citations) that offers transformative new approaches to treating cerebral aneurysms and brain tumors. His work on triboelectric nanogenerators for self-powered electroadhesion (138 citations) advanced energy-harvesting solutions for robotics and material handling, while his flexible mechanical metamaterial-based electronic skin (112 citations) opened new frontiers in robotic tactile sensing and real-time grasping detection. In precision manufacturing, Yin has made landmark contributions to robotic grinding, including blade shape matching, hand-eye calibration, and systematic machining error reduction — research that has directly improved automated aerospace component fabrication. His RFID-based mobile robot localization methods further demonstrate his breadth, offering elegant phase-based positioning solutions for autonomous systems. Together, these achievements mark Yin as a dynamic and highly impactful figure bridging robotics, smart materials, and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Magnetic soft microfiberbots for robotic embolization165 citations · 2024
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- 6Hand–Eye Calibration in Visually-Guided Robot Grinding100 citations · 2015
- 7A Fast UHF RFID Localization Method Using Unwrapped Phase-Position Model93 citations · 2019
- 83-D Shape Matching of a Blade Surface in Robotic Grinding Applications84 citations · 2016
- 9Wearable human–machine interface based on PVDF piezoelectric sensor82 citations · 2016
- 10A Systematic Model of Machining Error Reduction in Robotic Grinding67 citations · 2020