Naihui He

Papers

Total Citations

H-Index

About

Naihui He is a researcher at the forefront of intelligent manufacturing and human-robot collaboration, with a particular focus on the optimization of autonomous industrial vehicles. His work addresses a critical bottleneck in flexible manufacturing systems: the high cost and inflexibility of traditional Automated Guided Vehicles (AGVs), which require dedicated movement zones and significant workshop reconfiguration. He’s most cited paper, "Effect of Human-Robot Interaction on the Fleet Size of AIV Transporters in FMS" (2021, 9 citations), pioneers the study of Autonomous Intelligent Vehicles (AIVs) that can operate safely and efficiently alongside human workers without the need for physical barriers. By modeling the dynamics of human-robot interaction, He provides a framework for determining the optimal fleet size of these collaborative transporters, directly reducing capital expenditure while maintaining throughput. This contribution is vital for the next generation of Industry 4.0 factories, where flexibility and human-robot teams are paramount. Though early in his career, He’s work is already shaping the conversation around cost-effective, human-centric automation, marking him as a promising voice in the evolution of smart manufacturing.