Chee-An Yu
Papers
1
Total Citations
10
H-Index
1
About
Chee-An Yu is a leading researcher in robotics and human-robot interaction, with a focus on enabling socially aware navigation and robust perception for autonomous systems. His key research areas include environmental affordance mapping, indoor localization, and event detection for service and companion robots. Yu’s most notable contribution is the development of the multi-layer environmental affordance map, a novel system architecture that allows robots to efficiently organize perceptual and inference data to generate socially friendly navigation strategies. This work, published in 2019, has garnered 10 citations and represents a significant step toward integrating social norms into robotic movement. By bridging the gap between raw sensor data and high-level social reasoning, Yu’s research enhances robots’ ability to operate safely and intuitively in human-centered environments. His work is particularly impactful for applications in assistive robotics, smart homes, and public service robots, where understanding human context is critical. Through his innovative approach to affordance-based mapping, Chee-An Yu continues to shape the future of socially intelligent robotics, making autonomous systems more adaptive and considerate in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1