Papers
2
Total Citations
6
H-Index
2
About
Dunbing Tang is a pioneering researcher at the intersection of human-robot collaboration (HRC), augmented reality, and intelligent manufacturing systems. His work focuses on advancing Industry 5.0 through innovative frameworks that enable seamless cooperation between human operators and robotic systems. Tang's most notable contributions include the development of multimodal fusion perception methods that leverage Transformer-based architectures for real-time recognition of operator postures, actions, and assembly components, as well as large language model (LLM)-driven knowledge reasoning to enhance AR-assisted assembly workflows. His 2025 study on AR-assisted HRC assembly represents a significant leap forward in creating intuitive, cognition-aware interfaces for complex industrial tasks. Complementing this, his 2023 research on Digital Twin systems for human-robot symbiosis demonstrates his commitment to building cyber-physical integration frameworks that mirror real-world assembly environments with high fidelity. With citations accumulating across both works, Tang's research is gaining recognition within the smart manufacturing and robotics communities. His contributions are particularly valuable for students and engineers seeking to understand how AI, extended reality, and digital twins converge to redefine collaborative production in next-generation manufacturing.
Research Focus
Key Achievements
Top Papers
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