Xudong Han

Southern University of Science and Technology

Papers

11

Total Citations

95

H-Index

6

About

Xudong Han is an emerging robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and embodied intelligence. His research focuses on developing bio-inspired robotic systems that integrate proprioception, tactile perception, and adaptive grasping — particularly in challenging environments such as underwater settings. Drawing inspiration from biological systems like human skin and lobster claws, Han has pioneered the use of soft robotic metamaterials to create structures that blur the boundary between materials and machines, enabling robots to sense and respond to their physical world with remarkable sophistication. Among his most notable contributions is the development of vision-based tactile intelligence using soft robotic metamaterials, which has already garnered 25 citations since its 2024 publication, alongside groundbreaking work on proprioceptive learning with soft polyhedral networks. His research on amphibious tactile sensing and underwater grasping — leveraging autoencoders and high-frame-rate cameras — addresses critical challenges in ocean exploration robotics. With a publication record spanning foundational design principles to AI-driven sensing systems, and accumulating over 90 citations across recent works, Han is rapidly establishing himself as a significant voice in next-generation intelligent soft robotics.

Research Focus

Key Achievements

6
H-Index
11
Papers
95
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based tactile intelligence with soft robotic metamaterial
25 citations · 2024
📈 Most Prolific Year: 2024 (7 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Southern University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago