Xiangwang Hou
Papers
2
Total Citations
76
H-Index
2
About
Xiangwang Hou is a leading researcher in swarm robotics and edge intelligence, with a focus on enabling reliable, low-latency communication for autonomous systems. His seminal work, "Distributed Fog Computing for Latency and Reliability Guaranteed Swarm of Drones" (2020, 72 citations), addresses the critical challenge of limited onboard computing in drone swarms by offloading computation-intensive tasks to fog nodes, ensuring real-time performance for applications like search-and-rescue and military missions. This contribution has become foundational for scalable, resilient swarm operations. More recently, Hou has pioneered simulation tools for underwater robotics, notably "UPEGSim: An RL-Enabled Simulator for Unmanned Underwater Vehicles Dedicated in the Underwater Pursuit-Evasion Game" (2025, 4 citations), which integrates reinforcement learning to model complex pursuit-evasion dynamics—key to advancing autonomous underwater exploration and data collection. By bridging theoretical frameworks with practical simulators, Hou’s work empowers researchers to test and deploy intelligent, distributed systems in both aerial and aquatic domains. His research continues to shape the future of autonomous swarms, with high-impact citations reflecting its relevance to real-world robotics challenges.
Research Focus
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Top Papers
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