Papers
14
Total Citations
65
H-Index
5
About
Kyon-Mo Yang is a robotics researcher whose work spans intelligent service robots, autonomous navigation, and multi-robot systems — areas where his contributions have earned over 50 citations across a diverse and growing body of work. His most recognized contribution, an ontology-based home care robot for individuals with early-stage dementia (2018, 13 citations), demonstrates his commitment to applying robotics toward meaningful social challenges, integrating personalized AI-driven care into domestic environments. Yang has also made substantial strides in agricultural robotics, developing autonomous driving algorithms and model-based control systems for field farming under complex real-world disturbances, reflecting a strong command of multibody dynamics and control theory. Beyond these flagship areas, Yang has advanced mobile robot localization through marker-based positioning strategies and LiDAR point cloud augmentation for detecting glass surfaces — a persistent blind spot in indoor navigation. His work on multi-robot coordination for disaster response and heterogeneous robot systems in hospital isolation wards highlights his versatility across high-stakes deployment environments. More recently, his attention to GPS error filtering in orchard settings and object recognition via Siamese networks signals an expanding focus on precision agriculture and visual intelligence, positioning Yang as a thoughtful and pragmatic contributor to applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1An Ontology-based Home Care Service Robot for Persons with Dementia13 citations · 2018
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- 3Marker-Based Method for Recognition of Camera Position for Mobile Robots9 citations · 2021
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