Daqiang Guo

Southern University of Science and Technology, University of Cambridge, University of Hong Kong

Papers

Total Citations

273

H-Index

About

Dr. Daqiang Guo is a leading researcher in smart manufacturing and human-robot collaboration, with a focus on transforming assembly systems for Industry 5.0. His work centers on integrating digital twins, computer vision, and artificial intelligence to create human-centric, adaptive production environments. Dr. Guo’s most impactful contribution is his 2021 paper on a digital twin-enabled smart modular integrated construction system for on-site assembly, which has garnered 193 citations and established a foundational framework for intelligent construction. He further advances the field with research on fast scheduling of human-robot teams for synchronized production-logistics tasks (43 citations), addressing critical efficiency challenges in complex settings like aircraft assembly. His 2024 work on safety-aware human-centric collaborative assembly envisions factories where robust human intention recognition enables close, safe human-robot teamwork, a key principle of Industry 5.0. Dr. Guo’s research, including his exploration of computer vision-enabled HCPS assembly workstations for mass customization, demonstrates a sustained commitment to enhancing manufacturing responsiveness and productivity. His contributions are shaping the future of collaborative, intelligent manufacturing systems.