Shipei Huang
Papers
1
Total Citations
7
H-Index
1
About
Dr. Shipei Huang is a leading researcher at the intersection of robotics, cyber-physical systems, and edge intelligence. Their work focuses on solving fundamental challenges in autonomous mobile robot navigation by integrating Cyber-Physical-Social Systems (CPSS) with advanced computing paradigms. Huang’s most cited paper, “Accurate Position Estimation of Mobile Robot Based on Cyber-Physical-Social Systems (CPSS)” (2020), addresses a critical bottleneck in robotics: the inability of traditional computing methods to process the massive sensor data required for precise trajectory planning. By pioneering the use of edge computing—which deploys intelligent services directly on network peripheries—Huang demonstrated how to achieve real-time, high-accuracy position estimation without overwhelming central systems. This contribution has earned 7 citations and established a framework for more responsive, data-efficient robotic systems. Huang’s work is particularly notable for bridging theoretical CPSS models with practical edge implementations, offering a scalable solution for smart manufacturing, autonomous logistics, and human-robot collaboration. For students and researchers, Huang’s research exemplifies how rethinking computational architecture can unlock new capabilities in robotics, making machines not just smarter, but more seamlessly integrated into the physical and social world.
Research Focus
Key Achievements
Top Papers
- 1