Weisong Lai
Papers
1
Total Citations
13
H-Index
1
About
Weisong Lai is a leading researcher in multi-agent robotic systems, specializing in cooperative localization and navigation for unmanned aerial and ground vehicles. His most impactful work addresses a critical challenge: enabling reliable positioning in GNSS-denied environments. In his highly cited 2022 paper, Lai proposed an innovative aerial-ground multi-agent cooperative SLAM framework that leverages image feature point matching to achieve robust localization without satellite signals. This work, accumulating 13 citations, provides a foundational solution for deploying unmanned platforms in GPS-challenged settings such as urban canyons, underground facilities, or disaster zones. Lai’s contributions bridge the gap between UAV and UGV coordination, demonstrating how visual SLAM can unify heterogeneous platforms for seamless collaboration. His research has significant implications for search-and-rescue missions, infrastructure inspection, and autonomous logistics. By advancing cooperative perception and mapping, Lai is shaping the future of resilient multi-robot systems capable of operating in the most demanding environments.
Research Focus
Key Achievements
Top Papers
- 1