Xingdong Liang
Papers
1
Total Citations
9
H-Index
1
About
Xingdong Liang is a leading researcher in multi-robot cooperative localization and dense 3D reconstruction, with a focus on enabling fast, flexible, and drift-free mapping in challenging environments. His most-cited work, "Range-Aided Drift-Free Cooperative Localization and Consistent Reconstruction of Multi-Ground Robots" (2023), addresses a critical limitation of traditional methods: the inability to achieve consistent reconstruction when robots lack overlapping fields of view. By integrating inter-robot range measurements, Liang’s approach eliminates drift without requiring visual loop closures, enabling robust collaboration even in non-overlapping scenarios. This innovation has garnered 9 citations and is foundational for scalable multi-robot systems in search-and-rescue, exploration, and industrial automation. Liang’s contributions advance the frontier of cooperative perception, offering practical solutions for real-world deployment where communication and common visual areas are limited. His work is widely recognized for bridging theoretical consistency with real-time performance, making him a rising authority in the field of autonomous multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1