Papers
7
Total Citations
124
H-Index
5
About
Guoxin Wang is a leading researcher at the intersection of intelligent manufacturing, digital twin technology, and human-robot collaboration (HRC). His work focuses on creating adaptive, autonomous manufacturing systems that seamlessly integrate human workers with robotic counterparts. Wang’s major contributions include pioneering the use of digital twins for dynamic reconfiguration optimization in HRC environments, as detailed in his highly cited 2022 paper (86 citations). He has also advanced the field by fusing large language models (LLMs) with digital twins to enable robots to understand human intent during assembly, a breakthrough published in 2024. Notably, Wang contributed to a landmark space exploration project: a 2-meter-class robotic drill sent to the Moon in late 2020 by China, which successfully collected and returned lunar regolith samples. His research on lunar drill compressibility (13 citations) was critical to this mission. With over 120 total citations, Wang’s work spans from deep-space sampling to smart factories, demonstrating a unique ability to bridge theoretical modeling with real-world, high-stakes applications.
Research Focus
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