Honghui Tao

Papers

Total Citations

H-Index

About

Honghui Tao is a rising researcher in the field of multi-robot systems, with a primary focus on autonomous navigation, cooperative exploration, and simultaneous localization and mapping (SLAM) in GPS-denied environments. Their work addresses critical challenges in enabling robot teams to operate efficiently in complex, unknown settings. Tao’s most cited paper, a comprehensive review of LiDAR SLAM techniques for multi-robot systems (2025, 5 citations), synthesizes the state of the art and identifies key research directions for robust, decentralized navigation. In their notable 2024 study, Tao proposed a novel frontier-based multi-robot cooperative exploration method, introducing a two-stage frontier clustering algorithm that significantly improves exploration efficiency and reduces task completion time. This work demonstrates a practical advancement in how robot teams can autonomously divide and conquer unknown spaces. Though early in their career, Tao’s contributions are already shaping the development of scalable, real-world multi-robot systems for applications ranging from search and rescue to industrial automation.