Jinhao He

Sun Yat-sen University, Hong Kong University of Science and Technology

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About

Jinhao He is a leading researcher in autonomous navigation and multi-robot systems, with a focus on enabling robust, cost-effective localization in GPS-denied environments. His seminal work on “Ground and Aerial Collaborative Mapping in Urban Environments” (2020, 36 citations) pioneered heterogeneous multi-robot teams—combining Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs)—to achieve superior efficiency and flexibility in complex urban mapping. This foundational contribution demonstrated how collaborative sensing can overcome the limitations of single-robot systems. More recently, He introduced a breakthrough approach in “Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion” (2024, 5 citations), which addresses the high cost and infrastructure demands of traditional GPS/LiDAR setups. By fusing monocular cameras with offline LiDAR priors, his method achieves high-precision localization without real-time GPS or onboard LiDAR, significantly lowering barriers for widespread autonomous vehicle deployment. He’s work is highly cited for its practical impact on field robotics, particularly in search-and-rescue and smart city applications. His research continues to shape the future of resilient, low-cost autonomous navigation.