Weibo Ren
Papers
3
Total Citations
35
H-Index
3
About
Weibo Ren is a leading researcher in intelligent manufacturing systems, with a core focus on human–robot collaboration (HRC) and digital twin technologies. His work addresses critical challenges in task planning and scheduling for flexible, human-centric production environments. Ren’s most influential contribution is a decision-making framework for assembly task planning in human–robot collaborated manufacturing systems, which has garnered 20 citations and is recognized for effectively balancing human flexibility with robotic productivity. He further advanced the field by developing a digital twin-based framework that integrates virtual simulation for complex assembly tasks, enabling seamless planning, decision-making, and implementation of HRC. Additionally, Ren has made notable strides in optimizing flexible manufacturing systems through a hybrid genetic algorithm for coordinative scheduling of mobile robots and machines, enhancing workshop flexibility and resource sharing. His research has accumulated over 35 citations, reflecting its practical impact on modern production paradigms. Ren’s work stands out for its direct applicability in real-world manufacturing, offering scalable solutions that bridge the gap between theoretical planning and industrial implementation.
Research Focus
Key Achievements
Top Papers
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