Papers
1
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20
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About
Hongbin Yin is a leading researcher in robotic tactile sensing and intelligent manipulation, with a focus on bridging the gap between human-like dexterity and machine perception. His work centers on developing advanced sensor arrays and algorithms that enable robots to perceive and interact with their environment through touch, a critical capability for safe human-robot collaboration and autonomous object handling. Yin’s most cited paper, “3-D Tactile-Based Object Recognition for Robot Hands Using Force-Sensitive and Bend Sensor Arrays” (2022), has garnered 20 citations for its innovative integration of piezoresistive force sensors and bend sensors into a tactile glove, allowing robots to recognize object shapes and textures with unprecedented accuracy. This contribution addresses a fundamental challenge in modern robotics: enabling machines to safely manipulate objects and interact in shared human spaces. Beyond this, Yin’s research has implications for prosthetics, industrial automation, and service robotics, where tactile feedback is essential for adaptive control. His work continues to influence the design of more intuitive, responsive robotic systems, making him a key figure in advancing tactile intelligence for next-generation robots.
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