Zhuo Zou
Papers
10
Total Citations
358
H-Index
7
About
Zhuo Zou is a leading researcher in autonomous robotics, specializing in multi-robot systems, sensor fusion, and localization in GNSS-denied environments. His work has garnered over 350 citations, with his most influential papers—such as "UWB-Based Localization for Multi-UAV Systems" (119 citations) and "Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles" (104 citations)—shaping the field of collaborative robotics. Zou’s major contributions include pioneering ultra-wideband (UWB) localization for multi-UAV and heterogeneous robot teams, enabling high-accuracy positioning where GPS fails, and advancing multi-modal LiDAR SLAM through low-cost 3D lidar designs and edge computing with FPGAs. His research on distributed formation control and blockchain-enhanced autonomy further pushes the boundaries of scalable, resilient multi-agent systems. Notably, his benchmark for multi-modal LiDAR SLAM provides critical ground truth for GNSS-denied environments, while his work on LiDAR-as-a-camera sensors bridges perception and navigation. Zou’s achievements reflect a commitment to practical, cost-effective solutions for autonomous systems, making him a pivotal figure in robotics innovation.
Research Focus
Key Achievements
Top Papers
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- 3UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments30 citations · 2023
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