Machine Learning for Automated Maintenance of Future MSR

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Exploratory Topics
Birmingham, Alabama
Project Term:
10/01/2019 - 09/30/2022

Critical Need:

This topic would leverage innovations supporting nuclear energy for the development of technologies that will reduce the cost of nuclear energy. These projects seek to develop advancements in nuclear facility sensors, tools, analytics and controls. The next generation of nuclear reactor plants needs innovative, safe, and secure technologies to supplement advanced reactor designs. A variety of advanced nuclear reactor designs are being developed in the U.S., and they require a variety of design options to meet future market needs.

Project Innovation + Advantages:

Southern Research Institute proposes to transition most reactor maintenance activities from being done manually to people overseeing autonomous maintenance robotic systems, to reduce costs and avoid personnel exposure to radiation. To achieve this level of control, robots will be trained in a virtual environment through the use of virtual reality and machine learning to perform routine maintenance.


ARPA-E Program Director:
Dr. Jenifer Shafer
Project Contact:
Mark Patterson
Press and General Inquiries Email:
Project Contact Email:


Oak Ridge National Laboratory

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