Papers
8
Total Citations
313
H-Index
5
About
Jia Cui is a leading researcher at the intersection of robotics, digital twin technology, and sustainable manufacturing, with a focus on remanufacturing and human-robot collaboration. Her work has garnered over 310 citations, reflecting its significant impact on both academia and industry. Cui’s major contributions include pioneering a digital twin-based industrial cloud robotics framework, which integrates virtual and physical systems to enhance control and efficiency in manufacturing. She has also advanced human-robot collaborative disassembly line balancing, incorporating safe strategies to optimize remanufacturing processes—a critical step for extending product lifecycles and reducing waste. Notably, her research on robotic disassembly sequence planning addresses the challenge of uncertain part quality in end-of-life products, such as wear or deformation, improving disassembly efficiency. Additionally, Cui has developed virtual reconfiguration methods for mixed-model robotic assembly lines using algorithms like the Bees Algorithm, enabling cost-effective adaptation to dynamic production demands. Her work on human point cloud inpainting using deep generative models further enhances safety in human-robot collaboration. Through these innovations, Jia Cui is shaping the future of intelligent, sustainable manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Service Platform for Robotic Disassembly Planning in Remanufacturing42 citations · 2020
- 4Robotic disassembly sequence planning considering parts failure features18 citations · 2023
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- 7Framework and Enabling Technologies of Cloud Robotic Disassembly5 citations · 2020
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