Guozhen Cai
Papers
2
Total Citations
11
H-Index
2
About
Guozhen Cai is a robotics researcher whose work focuses on the critical challenge of enabling biped climbing robots to navigate and operate in complex, unstructured three-dimensional environments. His primary research areas include 3D environmental perception, path planning, and structural modelling for climbing robots. Cai’s major contributions lie in developing novel representations and algorithms that allow these robots to understand and move through spaces where traditional sensors, like lidar, struggle. He pioneered a method for building parametric expression maps of 3D planar structures, directly addressing the degradation of lidar measurements in certain environments. Furthermore, Cai tackled the difficult problem of modelling truss-style environments composed of cylindrical members. His work on three-dimensional truss modelling introduced a solution to the common issue of incomplete member segmentation, enabling more reliable robot navigation. With his most cited papers—"Representation of 3D Structure for Path Planning with Biped Wall-Climbing Robots" (6 citations) and "Three-Dimensional Truss Modelling for Biped Climbing Robots" (5 citations)—Cai is establishing a foundational framework for the next generation of agile, climbing robots capable of operating in industrial and urban settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Three-Dimensional Truss Modelling for Biped Climbing Robots5 citations · 2019