Kojiro Minemoto

Papers

1

Total Citations

3

H-Index

1

About

Kojiro Minemoto is a researcher focused on nuclear decommissioning and robotics, with key contributions to the safe visualization of radioactive substances. His most cited work, "Automatic data acquisition for visualizing radioactive substances by combining a gamma-ray imager and an autonomous mobile robot" (2021), addresses the critical challenge of reducing human radiation exposure at the Fukushima Daiichi Nuclear Power Station following the 2011 accident. By integrating gamma-ray imaging with autonomous mobile robotics, Minemoto developed a system that enables remote, automated mapping of radioactive contamination, supporting decontamination planning and worker safety. This innovative approach has garnered attention, with the paper cited 3 times, reflecting its relevance in the post-Fukushima decommissioning community. His research bridges robotics, radiation detection, and environmental monitoring, offering practical tools for nuclear site remediation. Minemoto’s work stands out for its direct application to one of the most complex nuclear cleanup efforts in history, demonstrating how autonomous systems can mitigate risks in hazardous environments. His contributions are pivotal for advancing safe, efficient decommissioning strategies and inspiring future research in nuclear robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Automatic data acquisition for visualizing radioactive substances by combining a gamma-ray imager and an autonomous mobile robot
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago