Wenchao Yang
Papers
2
Total Citations
14
H-Index
2
About
Wenchao Yang is a rising researcher in intelligent manufacturing, with a focus on human-robot collaboration (HRC) and sustainable assembly systems. Their work addresses critical safety and efficiency challenges in automated production environments. In their 2024 paper on HRC assembly, Yang proposed a personalised safety detection method using digital twin technology, tackling the complex interplay between worker variability and dynamic assembly environments—a key step toward safer, adaptive manufacturing. This work has already garnered 10 citations, reflecting its timely relevance. More recently, Yang developed an improved multi-objective harmony search algorithm enhanced by reinforcement learning to optimise automated assembly line balancing and energy consumption, published in 2025. This contribution demonstrates a novel integration of metaheuristic optimisation with machine learning, offering a pathway to greener, more efficient production systems. Though early in their career, Yang’s research is carving a niche at the intersection of safety, personalisation, and sustainability in smart manufacturing, with clear potential for industry impact.
Research Focus
Key Achievements
Top Papers
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