Makoto Nemoto

Papers

1

Total Citations

3

H-Index

1

About

Makoto Nemoto is a researcher at the forefront of nuclear decommissioning and robotics, specializing in the safe characterization of radioactive environments. His work focuses on developing autonomous systems to visualize and map radioactive substances, directly addressing the critical challenges at the Fukushima Daiichi Nuclear Power Station following the 2011 accident. Nemoto’s major contribution lies in integrating gamma-ray imagers with autonomous mobile robots, enabling remote data acquisition that significantly reduces human exposure to radiation. His most-cited paper, "Automatic data acquisition for visualizing radioactive substances by combining a gamma-ray imager and an autonomous mobile robot" (2021, 3 citations), details a pioneering method for creating real-time radiation distribution maps, essential for informed decontamination planning. This work exemplifies his commitment to advancing robotics for hazardous environments, with potential applications beyond nuclear sites to other radiological emergencies. Nemoto’s research not only enhances operational safety but also provides a scalable framework for future decommissioning efforts, marking him as a key innovator in the intersection of robotics and nuclear safety.

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 · 12 days ago