Hayato Amano

Kyushu Institute of Technology, Tokai University

Papers

4

Total Citations

32

H-Index

3

About

Hayato Amano is a leading researcher in domestic service robotics, with a focus on autonomous systems and hardware-software integration. His work centers on developing robots capable of performing everyday household tasks, such as tidying rooms and navigating cluttered environments, as demonstrated by his team’s performance in the World Robot Challenge 2020 Partner Robot Challenge (Real Space), which has garnered 23 citations. Amano’s major contributions include pioneering the integration of multiple FPGA components with the Robot Operating System 2 (ROS2) to create compact, autonomous robot cars. His 2022 paper on a ROS2-based tiny robot car, cited 4 times, showcases a system capable of lane detection, traffic signal recognition, and pedestrian avoidance—all without human intervention. This work builds on his earlier 2019 design of networked FPGA components for image recognition tasks, which earned recognition in the FPT’19 FPGA design competition. Amano also leads the Hibikino-Musashi@Home team, which has developed open-source tools and dataset generators to advance robot vision training. With a growing citation impact, Amano is shaping the future of practical, home-ready robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Solution of World Robot Challenge 2020 Partner Robot Challenge (Real Space)
23 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Kyushu Institute of Technology, Tokai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago