Erpei Xu
Papers
1
Total Citations
13
H-Index
1
About
Erpei Xu is a robotics researcher whose work focuses on advancing autonomous exploration systems, particularly for mobile robots operating in unknown environments. Their key research areas include hierarchical planning, LiDAR-based navigation, and efficient exploration strategies for 2-D environments. Xu’s major contribution is the development of the TDLE (2-D LiDAR Exploration with Hierarchical Planning Using Regional Division) framework, which tackles the fundamental challenge of balancing computational efficiency with exploration completeness. By introducing a regional division approach, their method overcomes the limitations of greedy strategies and resource-intensive global solutions, enabling robots to explore more intelligently with limited onboard resources. This work has garnered 13 citations since its publication in 2023, reflecting its growing impact in the field of autonomous robotics. Xu’s research is particularly notable for its practical implications in real-world applications such as search-and-rescue, environmental monitoring, and industrial automation, where efficient and reliable exploration is critical. Their innovative approach to hierarchical planning represents a meaningful step forward in making autonomous systems more capable and resource-efficient.
Research Focus
Key Achievements
Top Papers
- 1