Xiaohai Hu
Papers
2
Total Citations
4
H-Index
2
About
Xiaohai Hu is a researcher advancing the field of robotic manipulation through tactile sensing and machine learning. His primary research areas include tactile perception, slip detection, and dexterous grasping, with a focus on enabling robots to handle objects with human-like precision. Hu’s major contribution lies in developing a novel framework that learns to detect slip by estimating the contact force field and its entropy properties from tactile data. This approach moves beyond traditional vision-based methods, allowing robots to sense subtle changes in grip during manipulation—a critical capability for tasks requiring delicate or adaptive handling. His work, published in 2023 and 2024, has garnered early citations, reflecting its growing relevance in the robotics community. By integrating entropy-based analysis with tactile estimation, Hu provides a robust, real-time solution for slip detection, enhancing robotic autonomy in unstructured environments. His research holds promise for applications in manufacturing, prosthetics, and human-robot interaction, positioning him as an emerging contributor to intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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