ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Latest Journal Issues
Nuclear Science and Engineering
Fusion Science and Technology
Mobile unmanned systems: Automating operations, increasing efficiency, and reducing risk in nuclear
Mobile unmanned systems, also known as MUS, encompass a range of robotic devices, including drones, ground vehicles, crawlers, and submersibles. They are used for a wide range of industrial and defense applications to automate operations and assist humans or completely remove human workers from hazardous conditions. Robotics are ubiquitous in industrial manufacturing. Military robots are routinely employed in combat support applications, such as reconnaissance, inspection, explosive ordnance disposal, and transportation. Drones are used in many industries for security and monitoring, to conduct aerial inspections or surveys, and to capture digital twins. Wind and solar farms use MUS technologies for day-to-day operations and maintenance.
Eugene Engmann, Haiyan Zhao, Meng Shi (Univ. Idaho), Dong Ding, Ting He (INL)
Transactions | Volume 119 | Number 1 | November 2018 | Pages 457-459