Papers
21
Total Citations
404
H-Index
9
About
Chau Yuen is a prolific researcher whose work spans two dynamic and increasingly intertwined domains: next-generation wireless communications and autonomous robotic systems. In the realm of 6G networks, Yuen has made significant contributions to understanding how artificial intelligence can be seamlessly integrated across communication network layers, with his 2025 overview paper already garnering 123 citations, establishing it as a key reference for researchers navigating this transformative field. Equally impressive is Yuen's body of work in robotics localization and mapping. He has pioneered practical approaches to simultaneous localization and mapping (SLAM) using Ultra-Wideband (UWB) technology, addressing critical challenges in GPS-denied and visually degraded environments such as smoke-filled spaces. His research on multi-robot coordination, UWB-based relative localization, and neural network-driven NLOS error mitigation has collectively attracted over 200 citations, reflecting strong community adoption of his solutions. Yuen's interdisciplinary vision — bridging AI-driven communications with intelligent autonomous systems — positions him as a distinctive voice in both fields. His work is particularly valuable for engineers and researchers developing robust, real-world deployable systems where connectivity, sensing, and autonomy must converge reliably.
Research Focus
Key Achievements
Top Papers
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- 3Multi-AGV's Temporal Memory-Based RRT Exploration in Unknown Environment41 citations · 2022
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- 5UWB Radar SLAM: An Anchorless Approach in Vision Denied Indoor Environments30 citations · 2023
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- 7NLOS Ranging Mitigation with Neural Network Model for UWB Localization20 citations · 2022
- 8EasyAPPos: Positioning Wi-Fi Access Points by Using a Mobile Phone11 citations · 2023
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