Xinyu Pan
Papers
1
Total Citations
30
H-Index
1
About
Xinyu Pan is a pioneering researcher at the intersection of robotics, artificial intelligence, and sustainable manufacturing. Their work centers on developing intelligent systems for dynamic human-robot collaboration, particularly in complex disassembly and remanufacturing environments. Pan’s most influential contribution, the 2025 paper "Rescheduling human-robot collaboration tasks under dynamic disassembly scenarios: An MLLM-KG collaboratively enabled approach," has already garnered 30 citations, reflecting its immediate impact on the field. This work introduces a novel framework that integrates multimodal large language models with knowledge graphs to enable real-time task rescheduling, allowing robots to adapt to unpredictable changes in disassembly workflows—a critical challenge for circular economy initiatives. By bridging symbolic reasoning with data-driven AI, Pan has opened new pathways for flexible automation in industries like electronics recycling and automotive remanufacturing. Their research not only advances theoretical understanding of human-robot teaming but also offers practical solutions for reducing waste and improving resource efficiency. As a rising voice in intelligent manufacturing, Pan’s work is shaping how next-generation factories can seamlessly integrate human expertise with robotic precision.
Research Focus
Key Achievements
Top Papers
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