This paper presents a hybrid algorithm to solve the multi-objective path planning (MOPP)
problem for mobile robots in a static nuclear accident environment. The proposed algorithm …

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 …

The nuclear energy sector can benefit from mobile robots for remote inspection and
handling, reducing human exposure to radiation. Advances in cyber–physical systems have …

In order to protect people from nuclear radiation, nuclear emergency robots are widely used
in radiation environment. Except for the obstacle avoidance, these robots should also …

Designing an obstacle avoidance algorithm that incorporates the stochastic nature of human–
robot-environment interactions is challenging. In high risk activities, such as those found in …

To be useful in a wider range of environments, especially environments that are not
sanitized for their use, robots must be able to handle uncertainty in ground conditions. This …

Robots operating in a hazardous environment should be able to assess the risks involved
before executing any given task. Though several risks can be considered in such a scenario …

This paper describes a novel semi-autonomous mobile robot system designed to assist
search and rescue (SAR) first responders in disaster scenarios. While robots offer significant …

Physically inspired models of the stochastic nature of the human-robot-environment
interaction are generally difficult to derive from first principles, thus alternative data-driven …

Accurate characterization of radiation hotspots is a critical requirement for monitoring and
decommissioning operations in the nuclear industry, particularly where the arrangement of …