Yukiya Fukuda
Papers
3
Total Citations
12
H-Index
2
About
Yukiya Fukuda is a robotics researcher whose work sits at the intersection of human–robot interaction (HRI), autonomous navigation, and field robotics. His research addresses the fundamental challenge of enabling service robots to operate reliably in unstructured, real-world environments—from dynamic indoor spaces to extreme outdoor settings like disaster zones. In his most-cited work, "Unified Understanding of Environment, Task, and Human for Human–Robot Interaction in Real-World Environments" (6 citations), Fukuda proposes a novel system that integrates indoor dynamic mapping with task understanding and human communication, offering a holistic framework for practical HRI. His second most-cited paper, "Dense Traversability Estimation System for Extreme Environments" (4 citations), introduces a method for accurate, dense terrain assessment in areas where sensor data is often incomplete—a critical capability for safe autonomous navigation in rubble or debris. Fukuda is also a core member of the Hibikino-Musashi@Home team, contributing to open-source robot vision and development tools for the domestic standard platform league of the RoboCup@Home competition. With a growing citation record and a focus on bridging perception, planning, and human interaction, Fukuda is shaping the next generation of resilient, socially aware service robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dense Traversability Estimation System for Extreme Environments4 citations · 2023
- 3Hibikino-Musashi@Home 2023 Team Description Paper2 citations · 2023