Papers
8
Total Citations
139
H-Index
5
About
Nicholas Fung is a leading researcher in multi-robot systems, with a primary focus on deploying autonomous teams in disaster-relief and search-and-rescue operations under severely constrained conditions. His work addresses the critical challenge of coordinating robot swarms when communication is limited or disrupted. Fung’s most influential contribution, "Application of Multi-Robot Systems to Disaster-Relief Scenarios with Limited Communication" (80 citations), established foundational strategies for maintaining team cohesion and task allocation in such high-stakes environments. He has further advanced the field through his development of adaptive informative sampling and environment partitioning techniques, enabling robots to efficiently explore unknown areas and gather sensor data without constant human oversight. His research on scalable robotic controllers, including the use of Android-enabled mobile phones as lightweight operator control units, bridges the gap between sophisticated autonomous systems and practical battlefield or emergency response applications. Fung’s work is notable for its rigorous experimental validation in relevant field environments, moving beyond simulation to demonstrate real-world viability. With a consistent focus on online coordination tasks and bid-prediction algorithms for exploration, his research continues to push the boundaries of what multi-robot teams can achieve when time and connectivity are critical.
Research Focus
Key Achievements
Top Papers
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- 6Bid Prediction for Multi-Robot Exploration with Disrupted Communications5 citations · 2021
- 7Autonomous Exploration Using an Information Gain Metric5 citations · 2016
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