Papers
15
Total Citations
474
H-Index
10
About
Yazhan Zhang is a robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and bioinspired design. His research has made significant contributions to two intertwined fields: the development of compliant, adaptive robotic systems and the creation of intelligent tactile sensors that give robots a meaningful sense of touch. Zhang's most influential work, "Hybrid Jamming for Bioinspired Soft Robotic Fingers" (2019, 148 citations), introduced a groundbreaking finger design that merges layer and particle jamming with pneumatic actuation, enabling tunable stiffness in soft robotic hands. Complementing this, his tactile sensing research has been equally impactful. His "FingerVision" sensor (74 citations) and subsequent Helmholtz–Hodge decomposition method for estimating contact forces (72 citations) established robust frameworks for vision-based touch perception in robots. Beyond grippers, Zhang has explored bioinspired locomotion through inchworm-inspired soft robots driven by supercoiled polymer artificial muscles and pioneered compound eye-inspired imaging for multidimensional tactile sensing. His work on gecko-adhesive grippers and tactile sensing for legged robot stabilization further demonstrates his breadth. With nearly 450 cumulative citations, Zhang's research is shaping the future of dexterous, touch-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Hybrid Jamming for Bioinspired Soft Robotic Fingers148 citations · 2019
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- 6Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor23 citations · 2021
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- 9An Origami-Inspired Monolithic Soft Gripper Based on Geometric Design Method16 citations · 2019
- 10A Tactile Sensing Foot for Single Robot Leg Stabilization15 citations · 2021