Papers
4
Total Citations
154
H-Index
4
About
Kangcheng Liu is a robotics researcher whose work spans structural health monitoring, aerial-ground hybrid systems, and multi-robot coordination. His most impactful contribution is a comprehensive 2022 review on visual inspection of civil infrastructure, which systematically benchmarks crack classification, segmentation, and detection methods—garnering 88 citations and becoming a go-to resource for the field. In robotics, Liu introduced DoubleBee, a novel hybrid aerial-ground vehicle that combines bicopter efficiency with wheeled mobility, advancing energy-efficient locomotion for inspection tasks. He also developed Outram, a one-shot global localization method that uses triangulated scene graphs and outlier pruning to achieve robust LiDAR-based pose estimation from a single point cloud (23 citations). Addressing the complex problem of cable entanglement, Liu proposed a topological braids approach for path planning in multiple tethered robots, guaranteeing entanglement-free trajectories (15 citations). His work demonstrates a rare ability to bridge computer vision, control theory, and topological reasoning—making him a rising figure in field robotics and infrastructure automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels28 citations · 2023
- 3
- 4Path Planning for Multiple Tethered Robots Using Topological Braids15 citations · 2023