Papers
16
Total Citations
133
H-Index
6
About
Shichao Gu is a leading robotics researcher specializing in biped climbing robots designed for autonomous operation in complex, three-dimensional truss and wall environments. His work addresses the fundamental challenges of enabling these robots to navigate, perceive, and plan collision-free paths in high-risk, large-scale structures such as skeleton facades and truss towers. Gu’s major contributions include pioneering algorithms for global path determination, optimal grip planning, and 3D collision-free climbing path generation, which are critical for transitioning between structural members and surmounting obstacles. He has also advanced environmental representation and modeling, developing methods for parametric expression maps and truss member registration to enhance robot perception in degraded sensing conditions. Notably, his cloud-based multisubmap VSLAM (CAMs-SLAM) system tackles the unique multisource asynchronous sensing of biped climbers, marking a significant step toward fully autonomous high-altitude operations. With a cumulative citation count exceeding 100 across his ten most-cited papers, Gu’s research has laid the groundwork for deploying climbing robots as safe substitutes for human workers in hazardous tasks, earning recognition for its impact on both theoretical path planning and practical robotic autonomy.
Research Focus
Key Achievements
Top Papers
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- 8Three-Dimensional Truss Modelling for Biped Climbing Robots5 citations · 2019
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