Cai Min
Papers
2
Total Citations
37
H-Index
2
About
Cai Min is a leading researcher in the field of human-robot collaboration, with a primary focus on optimizing the synergy between human workers and robotic systems in manufacturing environments. Their key research areas include task allocation strategies, ergonomics, and the psychological dynamics of human-robot interaction. In their highly cited 2022 work on the human-robot collaborative hybrid assembly cell (HRCHAC), Cai Min introduced novel task allocation strategies that balance task matching with ergonomic considerations, demonstrating how collaborative assembly can significantly boost productivity in customized production settings—a contribution that has garnered 33 citations and influenced modern assembly line design. More recently, in 2025, Cai Min has explored how transparency in robotic behavior shapes trust, perception, and workload during human-robot interaction, a study that is already gaining traction with 4 citations. By bridging technical optimization with human factors, Cai Min’s work provides practical frameworks for designing safer, more efficient, and trust-enhancing collaborative systems, making their research essential for students and engineers advancing Industry 5.0.
Research Focus
Key Achievements
Top Papers
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