Yee Mey Goh
Papers
7
Total Citations
159
H-Index
5
About
Yee Mey Goh is a leading researcher in human–robot collaboration (HRC), focusing on how industrial robots and humans can work together safely, adaptively, and trustworthily. Her work bridges robotics, psychology, and manufacturing automation, with key contributions in force/torque-based learning for object manipulation—enabling robots to adjust their behavior in real-time based on human partners’ actions. Her 2021 paper on this topic has garnered 75 citations, reflecting its impact on adaptive HRC systems. Goh also explores the critical role of trust and mental health in human–robot interaction, notably through a 2021 study on robot apology as a post-accident trust-recovery strategy (46 citations) and a 2019 VR-based investigation into human behavior and emotional well-being in shared workspaces. Her use of virtual reality to study human adaptability and mental health factors in industrial settings is pioneering, highlighting the importance of psychological safety alongside physical safety. Additionally, her literature review on automation implementation in manufacturing (2016) provides foundational insights for industry adoption. Goh’s work is essential reading for researchers and students interested in designing collaborative robots that are not only technically capable but also socially and emotionally intelligent.
Research Focus
Key Achievements
Top Papers
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