Papers

8

Total Citations

76

H-Index

4

About

Yangmin Xie is a pioneering roboticist whose research spans autonomous exploration, biomimetic soft robotics, and intelligent motion planning. His most cited work introduces an autonomous exploration algorithm that leverages environment-robot interacted traversability analysis, enabling self-driving robots to navigate complex outdoor terrains—a critical advancement for field robotics with 32 citations. Xie’s groundbreaking contributions to biomimetic design are exemplified by “BaiLong,” the first untethered, hydraulically-driven soft underwater snake robot, which integrates self-motion sensing and online gait control, earning 12 citations and setting a new benchmark for aquatic soft robotics. He has also advanced path planning for high-degree-of-freedom manipulators through distorted configuration space methods, achieving real-time obstacle avoidance in cluttered workspaces (12 citations). His innovative work on map merging with terrain-adaptive density using 3D laser scanners and on constructing convolutional neural networks for quasi-uniform spherical images demonstrates his versatility in perception and AI. With over 70 total citations across eight key publications, Xie’s research is shaping the future of autonomous systems, from rugged terrestrial exploration to agile underwater locomotion.

Research Focus

Key Achievements

4
H-Index
8
Papers
76
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
An autonomous exploration algorithm using environment-robot interacted traversability analysis
32 citations · 2019
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Shanghai Institute of Hematology, Shanghai University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago