Papers
17
Total Citations
294
H-Index
8
About
Shixin Liu is a leading researcher in human-robot collaboration, intelligent manufacturing systems, and sustainable disassembly automation. His work sits at the intersection of operations research, robotics, and green manufacturing, with a particular focus on solving complex optimization problems that arise in real-world industrial settings. Liu's most influential contributions address disassembly line balancing problems, where he has pioneered approaches that strategically combine human dexterity with robotic efficiency to improve the recycling and remanufacturing of end-of-life products. His 2023 paper on stochastic human-robot collaborative disassembly, now with 69 citations, introduced the multi-objective shuffled frog leaping algorithm as a robust solution framework. His 2024 work on smart warehouse order picking, accumulating 65 citations in under a year, demonstrates his growing influence in logistics and autonomous systems optimization. Beyond disassembly, Liu has extended his research into multi-robot transport systems, U-shaped production lines, and cutting-edge nanomanipulation robotics, reflecting an impressive breadth of vision. His algorithmic innovations — spanning artificial bee colony, multiverse optimizer, and multi-objective evolutionary approaches — have provided practical tools for industry practitioners tackling combinatorial optimization challenges. With over 270 total citations across his recent portfolio, Liu is rapidly establishing himself as a significant voice in intelligent manufacturing and sustainable industrial automation.
Research Focus
Key Achievements
Top Papers
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- 4Multi-Mobile-Robot Transport and Production Integrated System Optimization35 citations · 2024
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- 9From Nano Robotic Manipulation to Nano Manipulation Robot7 citations · 2025
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