Zhengjiang Zhang
Papers
1
Total Citations
7
H-Index
1
About
Zhengjiang Zhang is a leading researcher at the intersection of cyber-physical-social systems (CPSS) and intelligent robotics, with a focus on enabling autonomous systems to operate reliably in complex, data-rich environments. His most cited work, “Accurate Position Estimation of Mobile Robot Based on Cyber-Physical-Social Systems (CPSS)” (2020), addresses a critical challenge in mobile robotics: the effective processing of massive sensor data for precise trajectory planning. Zhang’s key contribution lies in integrating edge computing with CPSS frameworks, allowing real-time, intelligent data processing at the network edge rather than relying on distant cloud servers. This approach significantly enhances the accuracy and responsiveness of position estimation, overcoming the limitations of traditional computing methods. With 7 citations, this paper has influenced subsequent research on edge intelligence for autonomous navigation. Zhang’s work is particularly notable for bridging theoretical CPSS models with practical robotic applications, offering a scalable solution for smart manufacturing, logistics, and service robotics. His research continues to shape how robots perceive and interact with their surroundings, making him a respected voice in the advancement of intelligent, socially-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1