Ayumu Tominaga

National Institute of Technology

Papers

1

Total Citations

3

H-Index

1

About

Ayumu Tominaga is an emerging researcher working at the intersection of robotics, environmental monitoring, and autonomous systems, with a particular focus on applying cutting-edge sensing technologies to real-world ecological challenges. His most notable work addresses the critical global issue of marine and coastal pollution through the development of intelligent 3D semantic mapping systems. By integrating RGB-D cameras with LiDAR sensor technology, Tominaga has pioneered approaches to automatically detecting and classifying sea garbage in complex beach environments — a problem of acute relevance to Japan, a nation defined by its vast and vulnerable coastline spanning thousands of kilometers. This research represents a meaningful convergence of computer vision, point cloud processing, and environmental robotics, demonstrating how autonomous systems can be mobilized to support sustainability efforts. While still in the early stages of building his citation record, with his 2024 publication already attracting initial recognition from the research community, Tominaga's work positions him as a promising contributor to the growing field of environmental robotics. His research holds significant implications for automated coastal cleanup systems and marine conservation strategies both within Japan and internationally.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
3D Semantic Mapping based on RGB-D Camera and LiDAR Sensor in Beach Environment
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago