Papers
5
Total Citations
161
H-Index
4
About
Dr. Yaqian Zhang is a leading researcher at the forefront of intelligent manufacturing, specializing in human-robot collaborative assembly for the Industry 5.0 era. Her work focuses on enabling seamless, context-aware cooperation between humans and machines by advancing multimodal perception and mutual cognition. Dr. Zhang’s major contributions lie in developing novel frameworks that integrate skeleton and RGB data to predict and recognize complex human assembly actions and intentions. Her highly cited 2022 paper on “Human-object integrated assembly intention recognition” (75 citations) and her 2023 work on “Skeleton-RGB integrated highly similar human action prediction” (71 citations) have set benchmarks for safe and efficient collaboration. She has also pioneered solutions for desired part grasping in cluttered environments and authored a forward-looking review on multimodal perception and embodied execution for Industry 5.0. With over 160 total citations and a rapidly growing body of work, Dr. Zhang is shaping the future of smart manufacturing, making her research essential reading for anyone interested in the next generation of human-centric, intelligent robotic systems.
Research Focus
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