Papers
36
Total Citations
1,248
H-Index
15
About
Jiayi Liu is a prolific researcher at the intersection of remanufacturing, robotics, and intelligent manufacturing systems, with particular expertise in disassembly sequence planning, human-robot collaboration, and optimization algorithms. His work has garnered significant academic recognition, accumulating hundreds of citations across a focused body of research that addresses both environmental sustainability and industrial efficiency. Liu's most influential contributions center on developing and refining the discrete Bees algorithm for robotic disassembly applications. His 2017 paper on enhanced discrete Bees algorithm (132 citations) laid foundational groundwork, which he extended through multi-objective optimization frameworks (120 citations) and collaborative human-robot disassembly planning (172 citations). Notably, his research uniquely accounts for human factors such as worker fatigue in hybrid disassembly environments, reflecting a holistic approach to real-world manufacturing challenges. Beyond disassembly optimization, Liu has made meaningful contributions to digital twin-enabled reconfigurable manufacturing systems and brain-computer interface integration for industrial robotics, demonstrating impressive breadth. His 2024 work on bio-inspired vibration isolation with energy harvesting signals an exciting evolution into sensing and self-powered systems. For students exploring sustainable manufacturing or human-robot collaboration, Liu's research offers a rigorous yet practically grounded body of work well worth engaging with.
Research Focus
Key Achievements
Top Papers
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- 7Digital twin-enabled reconfigurable modeling for smart manufacturing systems94 citations · 2019
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- 9Service Platform for Robotic Disassembly Planning in Remanufacturing42 citations · 2020
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