Tao Pan
Papers
1
Total Citations
13
H-Index
1
About
Tao Pan is a researcher focused on advancing the intellectualization and robotization of tunneling and underground construction environments. His primary research areas include simultaneous localization and mapping (SLAM), visual positioning for heavy machinery, and autonomous navigation in confined, unstructured spaces. Pan’s most notable contribution is his work on visual positioning of a roadheader and the construction of an environment map, where he developed a SLAM-based method to estimate the body pose of tunneling equipment and build a navigation map of a roadway. This work, published in 2021, has garnered 13 citations and directly addresses a critical bottleneck in automating tunneling faces. By enabling heavy machinery to perceive and map its surroundings autonomously, Pan’s research supports safer, more efficient operations in underground mining and civil engineering. His efforts represent a meaningful step toward fully robotic tunneling systems, with potential applications in smart mining and infrastructure development.
Research Focus
Key Achievements
Top Papers
- 1