Yangping Li

University of Chinese Academy of Sciences

Papers

2

Total Citations

5

H-Index

2

About

Yangping Li is a pioneering researcher in the field of extraterrestrial robotics, with a focused expertise in autonomous burrowing systems for lunar subsurface exploration. Their work addresses the critical challenge of enabling low-cost, high-efficiency robotic locomotion through uncertain lunar formations composed of soils and rocks. Li’s major contributions center on developing advanced three-dimensional path planning algorithms, notably an improved Rapidly-exploring Random Tree (RRT) method, which allows burrowing robots to autonomously navigate complex underground environments. These innovations are essential for future lunar missions, as they provide a viable solution for subsurface probing without the need for heavy, expensive drilling equipment. While their most-cited papers—published in 2020 and 2021—have garnered modest citation counts of 2 and 3 respectively, their impact lies in laying foundational groundwork for a nascent but critical area of space robotics. Li’s research is particularly notable for tackling the formidable task of 3-D trajectory planning in the unique, obstacle-rich context of the lunar subsurface, positioning them as a key contributor to the next generation of autonomous planetary exploration technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Three-Dimensional Path Planning Method of Autonomous Burrowing Robot for Lunar Subsurface Exploration
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago