Baofeng Sun
Papers
3
Total Citations
38
H-Index
3
About
Baofeng Sun is a researcher whose work bridges the frontiers of intelligent manufacturing and biomedical engineering. His primary research areas include flexible job shop scheduling, human-robot collaboration, and the application of neural networks to biosignal processing. Sun’s most impactful contribution is his integrated scheduling approach for autonomous mobile robots (AMRs) in flexible job shops, which simultaneously optimizes dispatching strategies and conflict-free routing—a critical advancement for smart factories. This work has garnered 28 citations, reflecting its relevance to Industry 4.0 logistics. In an earlier, pioneering study, Sun demonstrated that integrated neural networks can classify surface electromyography (sEMG) signals with high accuracy even when training data is limited, offering a practical pathway for improving prosthetic control. His most recent work extends into sustainable manufacturing, addressing joint balancing and sequencing for robotic mixed-model assembly lines while minimizing energy consumption. By tackling both the efficiency and environmental footprint of automated systems, Sun’s research provides actionable solutions for next-generation production systems, making him a notable contributor to the fields of industrial engineering and human-machine interaction.
Research Focus
Key Achievements
Top Papers
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