Papers
6
Total Citations
219
H-Index
5
About
Xiaofeng Tao is a prominent researcher at the forefront of next-generation wireless communications, artificial intelligence, and intelligent networked systems. His work spans 6G network design, mobile edge computing (MEC), and autonomous robotic systems, positioning him as a key contributor to the convergence of AI and advanced communication technologies. Tao's most influential contribution is his comprehensive overview of AI and 6G communication networks, which has rapidly accumulated 123 citations since publication, reflecting the field's urgent interest in embedding intelligence across network layers. His research on proactive network association for IoT environments addresses the critical challenge of ultra-low latency communication for autonomous vehicles and robots, earning 43 citations for its practical impact on real-world deployments. A distinctive thread in Tao's work is his focus on multi-robot systems, where he applies multi-agent deep reinforcement learning to optimize resource allocation and coordination in MEC-assisted environments. His more recent investigations into wireless multi-robot collaboration and federated anomaly detection in smart factories further demonstrate his commitment to resilient, AI-driven cyber-physical systems. Collectively, Tao's research offers foundational insights for students and engineers building the intelligent, connected infrastructure of tomorrow.
Research Focus
Key Achievements
Top Papers
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