Papers

7

Total Citations

54

H-Index

4

About

Ren Komatsu is a robotics researcher whose work focuses on enhancing robot perception, teleoperation, and autonomous navigation in complex environments. His key research areas include radiation source localization, spherical camera vision, and reinforcement learning for robotic control. One of his most impactful contributions is a novel path planning method for mobile robots equipped with imaging gamma-ray detectors, enabling efficient localization of radiation sources for nuclear safety—a paper that has garnered 19 citations. He also developed a free viewpoint image generation system using fisheye cameras and laser rangefinders to improve depth perception in teleoperation, reducing collision risks. Komatsu’s work on spherical camera rotation estimation (E-CNN) addresses the challenge of non-uniform optical flow in all-round cameras, advancing robotic rotation estimation. More recently, he has pioneered reinforcement learning approaches for viewpoint selection in robot arm teleoperation and motion generation for tracked robots overcoming non-fixed obstacles. With over 50 total citations, Komatsu’s research bridges computer vision and robotics, offering practical solutions for hazardous environments and remote operations.

Research Focus

Key Achievements

4
H-Index
7
Papers
54
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning for Localization of Radiation Sources Based on Principal Component Analysis
19 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: The University of Tokyo, Precision Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago