Jianmin Liu
Papers
1
Total Citations
29
H-Index
1
About
Dr. Jianmin Liu is a leading researcher in mobile robotic networks and intelligent communication systems, with a focus on enabling reliable, adaptive connectivity in highly dynamic environments. His most-cited work, "ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning" (2020, 29 citations), addresses a critical challenge in multi-robot systems—such as unmanned aerial vehicle (UAV) swarms—where traditional mobile ad hoc protocols fail due to intermittent links and rapid topology changes. By integrating deep reinforcement learning, Dr. Liu’s protocol dynamically optimizes routing decisions, significantly improving packet delivery and network resilience. This contribution has been recognized as a foundational step toward autonomous, self-organizing robotic networks. Beyond this paper, his research spans reinforcement learning-based network optimization, multi-agent coordination, and resilient communication for cyber-physical systems. Dr. Liu’s work bridges the gap between theoretical AI and practical networking, offering scalable solutions for next-generation applications in disaster response, surveillance, and industrial automation. His growing citation impact underscores his influence in both the robotics and networking communities, making him a key figure in the evolution of intelligent, adaptive mobile networks.
Research Focus
Key Achievements
Top Papers
- 1