Joshua Oon Soo Goh
Papers
5
Total Citations
48
H-Index
4
About
Joshua Oon Soo Goh is a pioneering researcher at the intersection of robotics, cognitive science, and healthcare, whose work is shaping the future of human-robot interaction and intelligent automation. His primary research areas span social robotics for cognitive assessment, autonomous systems in Industry 4.0, and machine learning for human behavior inference. Goh’s most significant contributions include developing novel frameworks for using social robots to evaluate cognitive states in older adults, particularly for detecting mild cognitive impairment (MCI) and sustained attention deficits—critical for early dementia intervention. His 2020 paper on decentralized coordination of AGVs for flexible factory automation (17 citations) has influenced smart manufacturing paradigms, while his 2021 work on identifying MCI through human-robot interactions (15 citations) demonstrates the clinical potential of robotic systems. Goh has also advanced methods for asynchronously embedding psychological tests into natural conversations and using approach-avoidance behaviors for preference inference without machine learning. With a growing citation impact and a clear translational focus, Goh’s research bridges engineering and gerontology, offering scalable, non-invasive tools for aging populations and next-generation factories.
Research Focus
Key Achievements
Top Papers
- 1
- 2Identifying Mild Cognitive Impairment by Using Human–Robot Interactions15 citations · 2021
- 3Social Robots for Evaluating Attention State in Older Adults8 citations · 2021
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