Weibin Zhuang
Papers
1
Total Citations
30
H-Index
1
About
Dr. Weibin Zhuang is a leading researcher at the intersection of intelligent manufacturing and human-robot collaboration, with a primary focus on dynamic disassembly systems. His most impactful work introduces a groundbreaking framework that integrates Multi-modal Large Language Models (MLLMs) with Knowledge Graphs (KGs) to enable real-time rescheduling of collaborative tasks under unpredictable conditions. This approach, detailed in his highly cited 2025 paper (30 citations), addresses a critical bottleneck in sustainable manufacturing: adapting human-robot workflows to sudden changes in disassembly scenarios. By leveraging MLLMs for contextual understanding and KGs for structured domain knowledge, Zhuang’s methodology significantly enhances system flexibility and efficiency. His contributions are vital for advancing circular economy practices, where automated disassembly of end-of-life products is essential. With a citation trajectory that underscores the timeliness and relevance of his work, Dr. Zhuang is recognized for bridging artificial intelligence with practical industrial challenges, offering a scalable solution for resilient, human-centric automation in complex environments.
Research Focus
Key Achievements
Top Papers
- 1