Jingyue Zhang

Waseda University, National Institute of Metrology

Papers

3

Total Citations

14

H-Index

3

About

Dr. Jingyue Zhang is a pioneering researcher at the intersection of advanced manufacturing and robotics, with a primary focus on Industry 5.0, human-robot collaboration, and intelligent automation. Their most significant contributions lie in developing novel meta-heuristic algorithms to solve complex assembly line balancing and scheduling problems, particularly in environments where humans and robots work synergistically. Dr. Zhang’s 2024 paper on this topic has already garnered 5 citations, while a 2025 follow-up study further refines these optimization techniques, demonstrating sustained impact. Beyond assembly line optimization, Dr. Zhang has also innovated in practical robotics, designing a wall-climbing robot system for the volume calibration of large vertical storage tanks—a 2023 work also cited 5 times. This dual expertise in both theoretical optimization and applied robotics highlights their versatility. Dr. Zhang’s work is critical for enabling flexible, human-centric manufacturing systems in the Industry 5.0 era, where efficiency must be balanced with worker well-being. Their research is essential reading for scholars and engineers seeking to implement collaborative robotics in real-world production environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Meta-heuristic Approach for Industry 5.0 Assembly Line Balancing and Scheduling with Human-Robot Collaboration
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Waseda University, National Institute of Metrology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago