Papers
15
Total Citations
484
H-Index
10
About
Naixue Xiong is a leading researcher in cyber-physical systems, multi-robot coordination, and intelligent IoT systems. His seminal work on robust cyber-physical systems (174 citations) established foundational concepts and implementation frameworks for integrating computation with physical processes. Xiong pioneered decentralized flocking algorithms for autonomous mobile robots (86 citations), enabling adaptive group coordination critical for manufacturing, surveillance, and space exploration—a contribution that remains highly influential. His more recent innovations include a smart trust-based multi-UAV task offloading system (62 citations) and the BRISK_D feature detector (46 citations), which efficiently combines FAST and BRISK algorithms with depth information for enhanced robotic vision. Xiong has also advanced crowdsourced data reporting for cloud-based mobile robotic services, energy-efficient multipath TCP scheduling for IoT power grid monitoring, and self-supervised 3D perception for human-computer interaction. With over 450 publications and 10,000+ citations, his work bridges theoretical foundations with practical implementations across robotics, industrial automation, and smart infrastructure. Xiong’s research continues to shape how autonomous systems perceive, coordinate, and operate reliably in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Robust Cyber–Physical Systems: Concept, models, and implementation174 citations · 2015
- 2A Decentralized and Adaptive Flocking Algorithm for Autonomous Mobile Robots86 citations · 2008
- 3STMTO: A smart and trust multi-UAV task offloading system62 citations · 2021
- 4A FAST-BRISK Feature Detector with Depth Information46 citations · 2018
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