Papers

7

Total Citations

45

H-Index

4

About

Jie-Yu Wang is a pioneering roboticist whose research spans reconfigurable mobile robotics, soft actuation, and bio-inspired design. Wang’s most influential work, “A reconfigurable tri-prism mobile robot with eight modes” (2018, 18 citations), introduces a novel robot composed of two feet connected by three U-R-U limbs, uniquely integrating the kinematic properties of sphere, squirming, tracked, and wheeled robots into a single platform. This breakthrough in multi-mode locomotion has become a foundational reference in reconfigurable robotics. Wang also advanced anthropomorphic manipulation with “A Two-Fingered Anthropomorphic Robotic Hand with Contact-Aided Cross Four-Bar Mechanisms as Finger Joints” (2016, 10 citations), demonstrating elegant mechanical simplicity for dexterous grasping. More recently, Wang has driven innovation in soft robotics: the “Compact, High-Performance, and Deformation-Resilient Trielectrode Electrostatic Soft Pump” (2024, 6 citations) overcomes the bulkiness of traditional pumps, while “Elastic Fiber Programming for Simplified Pneumatic Control in Soft Robots” (2025, 4 citations) pioneers a strategy to program pneumatic response using embedded fibers, eliminating complex valve systems. Wang’s bio-inspired “rigid-flexible coupled skin-scales system” (2025, 1 citation) further enhances protection in soft robotic fish, merging compliance with durability. With a portfolio spanning parallel mechanisms, variable-DOF manipulators, and soft pumps, Wang consistently pushes the boundaries of robot versatility, efficiency, and resilience.

Research Focus

Key Achievements

4
H-Index
7
Papers
45
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A reconfigurable tri-prism mobile robot with eight modes
18 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Heriot-Watt University, Shanghai University, Heriot-Watt University Malaysia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago