Guohang Yan
Papers
1
Total Citations
47
H-Index
1
About
Dr. Guohang Yan is a leading researcher in autonomous robotics and 3D scene reconstruction, with a particular focus on enabling mobile robots to intelligently navigate and map unknown indoor environments. His most influential work, "Autonomous reconstruction of unknown indoor scenes guided by time-varying tensor fields" (2017, 47 citations), introduces a pioneering "navigation-by-reconstruction" framework that fundamentally addresses the critical trade-off between exploration efficiency and reconstruction quality. By leveraging time-varying tensor fields to guide a robot's movement, Yan's approach allows autonomous systems to dynamically plan paths that optimize both the completeness and accuracy of the resulting 3D model, moving beyond simple coverage to intelligent, quality-driven exploration. This contribution has been highly influential in the fields of robotic perception and simultaneous localization and mapping (SLAM), providing a principled methodology for autonomous inspection, search-and-rescue, and digital twin creation. Yan's work stands as a key reference for researchers developing next-generation autonomous systems that must operate intelligently in complex, unknown spaces.
Research Focus
Key Achievements
Top Papers
- 1