Papers
1
Total Citations
20
H-Index
1
About
Huafang Xu is a leading researcher in the field of robotic tactile sensing and intelligent manipulation. Their work focuses on developing advanced sensor systems that enable robots to perceive and interact with their environment through touch—a critical capability for safe human-robot collaboration and dexterous object handling. Xu’s most cited paper, “3-D Tactile-Based Object Recognition for Robot Hands Using Force-Sensitive and Bend Sensor Arrays” (2022, 20 citations), introduces a novel 3-D tactile glove that integrates piezoresistive force sensors with bend sensor arrays, allowing robots to recognize objects by their shape, texture, and compliance. This contribution addresses a fundamental challenge in modern robotics: equipping machines with a sense of touch comparable to human skin. By combining multi-modal sensing with machine learning algorithms, Xu’s work has laid the groundwork for more intuitive and adaptive robotic systems in manufacturing, healthcare, and service industries. Their research continues to push the boundaries of soft robotics and sensor design, earning recognition for bridging the gap between theoretical sensing principles and practical robotic applications.
Research Focus
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Top Papers
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