Yuheng Gao

Papers

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About

Yuheng Gao is a rising researcher in the field of multi-robot systems, with a focused expertise in autonomous exploration, simultaneous localization and mapping (SLAM), and cooperative navigation in GPS-denied environments. Their work addresses critical challenges in enabling teams of robots to efficiently and autonomously map unknown spaces. Gao’s most cited paper, a comprehensive review of LiDAR SLAM techniques for multi-robot systems (2025, 5 citations), synthesizes the state of the art in this foundational technology, serving as a key resource for researchers developing robust navigation solutions for complex, dynamic settings. Building on this, their novel frontier-based multi-robot cooperative exploration method (2024, 2 citations) introduces a two-stage frontier clustering algorithm that significantly improves the efficiency of exploration tasks. By reducing the time required for robots to map unknown areas, this contribution directly enhances the practical performance of autonomous systems in applications ranging from search and rescue to industrial inspection. Though early in their career, Gao’s work demonstrates a clear trajectory toward solving core problems in multi-robot coordination and perception.