Baoshan Zhang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Baoshan Zhang is a researcher specializing in mine robotics and underground positioning systems, with a focus on overcoming the limitations of GNSS in subterranean environments. His key contributions lie in developing alternative localization methods for mines, where GPS signals are too weak for reliable navigation. His most cited work, "Research on Mine Robot Positioning Based on Weighted Centroid Method" (2018), addresses this challenge by employing radio frequency (RF) equipment and signal preprocessing techniques to enhance positioning accuracy in harsh, signal-degraded settings. This paper has garnered 4 citations, reflecting its foundational role in advancing mine automation and safety. Dr. Zhang’s research is pivotal for enabling autonomous robots to operate effectively in GPS-denied environments, with implications for mining efficiency and worker safety. His work represents a critical step toward robust, real-world deployment of robotic systems in underground applications, highlighting his expertise in sensor fusion and localization algorithms.
Research Focus
Key Achievements
Top Papers
- 1Research on Mine Robot Positioning Based on Weighted Centroid Method4 citations · 2018