Guoxian Wang
Papers
3
Total Citations
69
H-Index
3
About
Guoxian Wang is a leading researcher at the forefront of sustainable manufacturing and intelligent automation, with a primary focus on human-robot collaboration and disassembly optimization for retired electric vehicle (EV) batteries. Their work addresses a critical challenge in the circular economy: efficiently and safely recycling the growing wave of end-of-life EV batteries. Wang’s major contributions include pioneering the use of partially observable deep reinforcement learning to optimize multi-agent strategies in human-robot collaborative disassembly, a breakthrough that enables adaptive decision-making under uncertainty. This work, published in 2024, has already garnered 42 citations, reflecting its immediate impact. Earlier foundational studies, such as the 2022 paper on human-robot collaboration for uncertain disassembly (19 citations) and a 2023 genetic algorithm-based approach for tool selection (8 citations), have collectively shaped the field by providing robust solutions for flexible production workshops. Wang’s research is notable for its practical integration of AI and robotics to tackle real-world recycling challenges, directly supporting the sustainable resource utilization of retired EV batteries. Their work is essential reading for researchers in sustainable engineering, robotics, and industrial optimization.
Research Focus
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Top Papers
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