Papers
1
Total Citations
20
H-Index
1
About
Yuxing Yan is a robotics researcher whose work centers on advancing tactile sensing and dexterous manipulation for robotic hands. His key contributions lie in integrating force-sensitive and bend sensor arrays to enable robots to perceive and interact with their environment more intuitively. Yan’s most-cited paper, “3-D Tactile-Based Object Recognition for Robot Hands Using Force-Sensitive and Bend Sensor Arrays” (2022), introduces a novel 3-D tactile glove that combines piezoresistive force sensors with bend sensors, allowing robots to recognize objects through touch with high accuracy. This work has garnered 20 citations, reflecting its growing influence in the field of soft robotics and human-robot interaction. Yan’s research addresses a critical challenge in modern robotics: enabling safe, reliable manipulation in shared human spaces. By improving tactile feedback, his work paves the way for more responsive and adaptive robotic systems, with potential applications in assistive technology, industrial automation, and collaborative robotics. His achievements highlight a commitment to bridging the gap between sensor design and practical robotic control, making him a notable emerging voice in tactile robotics.
Research Focus
Key Achievements
Top Papers
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