Pei-Yi Kuo
Papers
2
Total Citations
74
H-Index
2
About
Pei-Yi Kuo is a leading researcher at the intersection of assistive robotics and human-robot interaction, with a focus on accessibility and service automation. Her work addresses two critical challenges: enabling independent mobility for blind and visually impaired (BVI) individuals, and understanding the barriers to successful service robot adoption. In her highly cited 2021 study (46 citations), Kuo pioneered a deep reinforcement learning (DRL)-based assistive guiding robot that uses ultra-wideband (UWB) beacons and semantic feedback to navigate complex pedestrian environments—a significant leap toward real-world navigation aids for BVI users. Complementing this technical innovation, her 2019 investigation (28 citations) into the adoption failure of service robots, using the case of Henn-na Hotel’s robot downsizing, provides crucial insights into the socio-technical factors that undermine robotic deployments in hospitality. This dual focus—pushing the boundaries of robotic capability while critically examining real-world implementation—makes Kuo’s work essential reading for researchers in assistive technology, human-robot interaction, and service robotics. Her contributions highlight that successful robotics requires not only advanced algorithms but also a deep understanding of human needs and organizational contexts.
Research Focus
Key Achievements
Top Papers
- 1
- 2What causes the adoption failure of service robots?28 citations · 2019