CARMA II: A ground vehicle for autonomous surveying of alpha, beta and gamma radiation

Front Robot AI. 2023 Mar 31:10:1137750. doi: 10.3389/frobt.2023.1137750. eCollection 2023.

Abstract

Surveying active nuclear facilities for spread of alpha and beta contamination is currently performed by human operators. However, a skills gap of qualified workers is emerging and is set to worsen in the near future due to under recruitment, retirement and increased demand. This paper presents an autonomous ground vehicle that can survey nuclear facilities for alpha, beta and gamma radiation and generate radiation heatmaps. New methods for preventing the robot from spreading radioactive contamination using a state-machine and radiation costmaps are introduced. This is the first robot that can detect alpha and beta contamination and autonomously re-plan around the contamination without the wheels passing over the contaminated area. Radiation avoidance functionality is proven experimentally to reduce alpha and beta contamination spread as well as gamma radiation dose to the robot. The robot's survey area is defined using a custom designed, graphically controlled area coverage planner. It was concluded that the robot is highly suited to certain monotonous room scale radiation surveying tasks and therefore provides the opportunity for financial savings, to mitigate a future skills gap, and provision of radiation surveys that are more granular, accurate and repeatable than those currently performed by human operators.

Keywords: ROS; autonomous ground vehicle; costmap; experimental; radiation detection; state machine.

Grants and funding

This research was funded by the Engineering and Physical Sciences Research Council (EPSRC) under grants: EP/P01366X/1; EP/V026941/1; and by an EPSRC impact acceleration account secondment scheme titled: Mobile Robots for Generic Characterisation of Nuclear Facilities, which was jointly funded by Sellafield Ltd., The University of Manchester and EPSRC.