Chunqian Ji

University of Birmingham

Papers

13

Total Citations

762

H-Index

8

About

Chunqian Ji is a leading researcher in sustainable manufacturing, whose work focuses on transforming remanufacturing through intelligent robotic disassembly. Ji’s core contributions lie in optimizing the complex interplay between disassembly sequence planning and line balancing—critical challenges for automating the recycling of end-of-life products. By developing innovative algorithms like the improved discrete Bees algorithm, Ji has provided powerful computational tools that dramatically enhance the efficiency of robotic disassembly operations. This foundational work, detailed in papers with 138 and 132 citations respectively, has been instrumental in making automated remanufacturing economically viable. Recognizing that full automation is not always feasible, Ji has also pioneered human-robot collaborative disassembly cells, designing systems where humans and robots work safely side-by-side to handle the inherent uncertainties of returned products. This highly cited research (127 citations) addresses a practical bottleneck in the industry. Further notable achievements include developing specialized robotic tools for challenging tasks like unfastening hexagonal screws and separating press-fitted components, as well as a novel six-axis force/torque sensor for robotic applications. Through this blend of algorithmic optimization and practical system design, Ji is directly tackling the labor-intensive nature of disassembly, paving the way for a more circular and sustainable economy.

Research Focus

Key Achievements

8
H-Index
13
Papers
762
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative optimization of robotic disassembly sequence planning and robotic disassembly line balancing problem using improved discrete Bees algorithm in remanufacturing✰
138 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Birmingham

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago