Xianli Bu
Papers
1
Total Citations
8
H-Index
1
About
Xianli Bu is a robotics researcher specializing in motion planning and control for mobile inspection robots operating in constrained industrial environments. His primary contributions focus on developing high-precision, sampling-based path-following algorithms that enable large, heavy inspection robots to navigate narrow industrial sites safely and reliably. His most-cited work, "Path-Follower: A High-Precision Sampling-Based Motion Planner for Inspection Robot" (2023), addresses the critical challenge of autonomous global path planning in settings where obstacle avoidance is not permitted—instead, robots must precisely follow pre-planned paths and stop when encountering obstacles. This work has garnered 8 citations, reflecting its practical relevance to industrial automation and inspection tasks. Bu’s research bridges the gap between theoretical motion planning and real-world deployment constraints, offering robust solutions for robots operating in tight, hazardous spaces. His achievements highlight a focused commitment to enhancing the reliability and precision of mobile inspection systems, contributing valuable insights to the fields of robotics, automation, and industrial safety.
Research Focus
Key Achievements
Top Papers
- 1