Jiazhen Pang
Papers
3
Total Citations
53
H-Index
3
About
Jiazhen Pang is at the forefront of intelligent manufacturing and human-robot collaboration, pioneering research that bridges cognitive computing, digital twins, and augmented reality. His work centers on developing adaptive, human-centric systems for complex industrial tasks, particularly in assembly and remanufacturing. Pang’s most influential contribution is the introduction of a cognition-augmented visual computation framework for human-centric assembly, which has garnered 23 citations and redefines how workers interact with automated systems. He further advanced the field with a novel approach that leverages large language models to empower Bayesian networks for reliable human-robot collaborative disassembly sequence planning in remanufacturing (20 citations), addressing critical challenges of uncertainty in end-of-life product processing. His development of ProjecTwin, a digital twin-based projection framework for flexible spatial augmented reality in adaptive assistance (10 citations), demonstrates his commitment to practical, real-time support systems. Pang’s work is notable for its integration of cutting-edge AI with tangible industrial applications, offering scalable solutions that enhance both efficiency and worker adaptability. His research not only pushes the boundaries of smart manufacturing but also provides a roadmap for safer, more intuitive human-robot collaboration in sustainable production environments.
Research Focus
Key Achievements
Top Papers
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