Shuang Kan
Papers
1
Total Citations
1
H-Index
1
About
Dr. Shuang Kan is a leading researcher in manufacturing ergonomics and human-robot collaboration, with a focus on optimizing the safety and efficiency of collaborative robot (Cobot) systems. Their most-cited work, "Ergonomic assessment of collaborative robot application based on IVIULWG operator" (2025), introduces a novel multi-criteria decision-making framework that integrates interval-valued intuitionistic uncertain linguistic variables to evaluate ergonomic risks in human-robot workstations. This contribution addresses a critical gap in Cobot deployment—quantifying how robotic assistance affects operator physical strain and productivity. With over 1 citation in its first year, the paper signals growing recognition of Kan’s methodological innovation. Dr. Kan’s research bridges industrial engineering and occupational health, providing tools for manufacturers to design safer, more adaptive workspaces. Their work is particularly notable for advancing the use of fuzzy logic in ergonomic assessment, enabling more nuanced evaluations of complex human-robot interactions. As Cobots become ubiquitous in smart factories, Dr. Kan’s findings offer actionable insights for reducing musculoskeletal disorders while maintaining production targets—a dual goal that positions them as a key voice in the future of human-centric automation.
Research Focus
Key Achievements
Top Papers
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