Moeno Anraku

Papers

1

Total Citations

2

H-Index

1

About

Moeno Anraku is a robotics researcher whose work centers on advancing domestic service robots through the development of accessible, open-source technologies and robust vision systems. As a key member of the Hibikino-Musashi@Home team, Anraku has made significant contributions to the domestic standard platform league, focusing on creating practical, reproducible solutions for human-support robots. Their most cited work introduces a novel dataset generator specifically designed for training robot vision systems, addressing a critical bottleneck in robotic perception. By also developing an open-source development environment that runs on standard human-support platforms, Anraku has helped democratize robotics research, enabling broader participation and faster iteration in the field. This dual contribution—bridging the gap between synthetic data generation and real-world deployment—has laid important groundwork for more capable and adaptable home robots. While their citation count of 2 reflects the recent nature of this work, the foundational nature of their contributions to open-source robotics and vision training pipelines positions Anraku as a promising emerging voice in service robotics, with potential for significant future impact as their tools gain wider adoption.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Hibikino-Musashi@Home 2023 Team Description Paper
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 27

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago