Research
Three research directions connect precise perception, reliable connectivity and trusted collaboration in complex and extreme environments.
Localization
High-Precision Localization and Intelligent Perception in Complex Environments
We study the theory, enabling technologies and system methods for high-precision localization, navigation, environmental perception and intelligent inspection in GNSS-denied environments with severe occlusion or interference. Key challenges include positioning accuracy, continuity of service, environmental understanding and multi-source sensor fusion. Applications include underground spaces, utility networks and tunnels, complex buildings, robotics and unmanned systems.
Localization · precision perception · multi-source fusion · GNSS-denied environments · underground spaces · intelligent inspection
Next Generation
Robust Communications and Reliable Networking in Complex Environments
We investigate reliable communications, robust transmission and cooperative networking across media and under severe physical constraints, including underground, mining, underwater, ice-covered and electromagnetically challenging environments. We address fragile links, limited bandwidth, complex propagation and system reliability to support resilient connectivity and coordinated operations in complex environments.
Cross-media communication · through-the-earth communication · extreme environments · robust transmission · cooperative networking · reliable connectivity
Blockchain Intelligence
Intelligent Information Processing and Trusted Collaboration in Complex Environments
We study efficient information processing, trusted information exchange and collaborative mechanisms for resource-constrained distributed systems with weak connectivity and limited mutual trust. Our work explores how artificial intelligence, reinforcement learning, federated learning, complex networks and blockchain can be integrated in complex systems to improve information efficiency, system robustness, trustworthiness and multi-node collaboration.
Artificial intelligence · AI agents · reinforcement learning · federated learning · complex networks · blockchain · privacy · trusted collaboration