Papers
3
Total Citations
15
H-Index
2
About
Chan-Woo Yu is a researcher whose work spans the intersection of intelligent systems, autonomous robotics, and unmanned vehicle technology. His early contributions focused on humanizing robotic behavior, most notably through his 2005 paper proposing a behavior decision model that integrates artificial emotion, motivation, and dynamic personality to enable robots to express emotions in human-like ways — a foundational effort in affective computing and social robotics that has garnered 9 citations. Yu's research later evolved toward maritime autonomous systems, where he has made meaningful contributions to the verification and validation of autonomous software for Unmanned Surface Vehicles (USVs). His 2017 study on integrated simulation methods for mine detection missions addressed a critical challenge in early-stage software validation, earning 4 citations, while his 2021 work advanced this further by integrating virtual prototypes with the Robot Operating System (ROS) framework to enable pre-deployment software testing. Together, these contributions reflect Yu's sustained commitment to bridging intelligent decision-making with real-world autonomous systems, offering practical methodologies that help reduce the risks and costs associated with developing complex unmanned platforms across both terrestrial and maritime domains.
Research Focus
Key Achievements
Top Papers
- 1Behavior Decision Model Based on Emotion and Dynamic Personality9 citations · 2005
- 2
- 3