Ryo Hanai
Papers
4
Total Citations
22
H-Index
3
About
Ryo Hanai is a robotics researcher whose work spans autonomous navigation, human-robot collaboration, and intelligent sensing systems for real-world environments. His research has made meaningful contributions to the challenge of enabling robots to operate safely and effectively alongside humans in complex outdoor and urban settings. Among his most notable contributions is a 3D textured map generation method for autonomous vehicles navigating GPS-denied urban environments, which has garnered 10 citations and addresses a critical bottleneck in reliable vehicle localization and obstacle detection using onboard laser scanners. Complementing this, his pedestrian detection approach — combining a laser range finder with an omni-view camera — offers an efficient solution to the resolution and computational trade-offs inherent in outdoor sensing, earning 4 citations. Hanai has also advanced the field of human-robot interaction through his work on collaborative pick-and-place tasks, developing motion generation strategies that account for human performance variability and behavioral unpredictability, cited 6 times. His contributions to IRT (Information and Robot Technology) robot systems further demonstrate his breadth across integrated robotics platforms. Collectively, his research reflects a sustained commitment to building robots that are not only technically capable but practically deployable in human-centered environments.
Research Focus
Key Achievements
Top Papers
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