Youxi Hu
Papers
2
Total Citations
52
H-Index
2
About
Youxi Hu is a leading researcher at the intersection of smart remanufacturing and human–robot collaboration, with a primary focus on developing intelligent, data-driven methods for disassembly sequence planning. Hu’s major contributions center on creating robust decision-making frameworks for human–robot collaborative disassembly (HRCD), a critical step in the remanufacturing of End-of-Life (EoL) products. In a highly cited 2024 work (32 citations), Hu introduced an ontology and rule-based method that enables flexible and efficient HRCD planning by formalizing disassembly knowledge. Building on this, a 2025 paper (20 citations) pioneered the use of Large Language Models (LLMs) to empower Bayesian Networks, addressing the inherent uncertainty and combinatorial complexity of disassembly choices. This innovative approach leverages the reasoning power of LLMs to enhance the reliability of sequence planning, directly tackling the challenge of numerous uncertain outcomes in HRCD. By fusing symbolic AI with probabilistic reasoning, Hu’s work provides a scalable, intelligent solution that balances robot efficiency with human adaptability, marking a significant step toward fully automated, resilient remanufacturing systems.
Research Focus
Key Achievements
Top Papers
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