Kuo-Yi Chen
Papers
4
Total Citations
28
H-Index
2
About
Kuo-Yi Chen is a robotics researcher whose work focuses on developing intelligent, service-oriented robots capable of navigating and interacting with human environments. His primary research areas include fuzzy control systems, autonomous navigation, and AI-driven object recognition for robotic manipulation. Chen’s major contributions center on creating practical, real-world robotic applications, most notably his work on quadruped robot guide dogs and mobile robots with autonomous door-opening capabilities. His 2021 paper on fuzzy control for quadruped guide dogs and his 2018 work on door-opening mobile robots each have garnered 12 citations, demonstrating their impact in the field. Chen’s research addresses critical challenges in bringing service robots from controlled labs into dynamic home environments, where they must perceive and manipulate objects like doors and respond to human needs. His 2019 paper on AI-based object identification for service robot arms further advances the speed and accuracy of robotic perception, replacing slower traditional methods. By tackling these fundamental mobility and interaction problems, Chen is helping pave the way for more capable, helpful robots that can assist people in daily life.
Research Focus
Key Achievements
Top Papers
- 1The Fuzzy Control Approach for a Quadruped Robot Guide Dog12 citations · 2021
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