Billy Pik Lik Lau
Papers
11
Total Citations
154
H-Index
7
About
Billy Pik Lik Lau is a robotics researcher whose work sits at the intersection of autonomous navigation, multi-robot systems, and sensor fusion. His research primarily addresses the fundamental challenges of Simultaneous Localization and Mapping (SLAM), environment exploration, and localization in GPS-denied and geometrically challenging indoor environments. Lau's most influential contributions center on leveraging Ultra-Wideband (UWB) technology in combination with LiDAR and WiFi to build robust, cost-effective mapping and localization systems. His 2021 paper fusing UWB with low-cost 2-D LiDAR for mobile robot mapping has garnered 42 citations, while his work on multi-AGV temporal memory-based exploration strategies has attracted 41 citations — reflecting strong community interest in scalable, collaborative robotics solutions. His distributed SLAM framework for multi-robot systems using UWB and odometry further demonstrates his commitment to practical, communication-aware robot coordination. Beyond single-robot systems, Lau has made notable strides in multi-robot exploration, addressing real-world constraints such as limited communication bandwidth and unknown environments. His evolving research on neural network-based NLOS error mitigation and entropy-field-based collaborative exploration highlights a forward-looking approach to making autonomous systems more reliable and deployable, making him a significant contributor to intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2Multi-AGV's Temporal Memory-Based RRT Exploration in Unknown Environment41 citations · 2022
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- 6Efficient WiFi LiDAR SLAM for Autonomous Robots in Large Environments8 citations · 2022
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