Dynamical analysis of position-sensitive water-robot in radioactively contaminated areas by machine learning (ML) algorithm.

• The water-robot is applied to the nuclear disaster area. • Complex algorithm is used for the Artificial Intelligence based modeling. • Machine Learning is incorporated with random sampling based modeling. • Remediation of the radioactive contaminated is analyzed by the robotics. It is analyzed for the water-robot which works in radioactively contaminated areas of nuclear accident sites where the core-melted accident in the Fukushima and Chernobyl disasters is the target modeling of controlling the behavior in the harsh areas by radiation. The radiation detector is a particular characteristic of the water-robot in the nuclear power plant (NPP)'s disaster areas in which the artificial intelligence (AI) algorithm is analyzed for the performance of the robot. A figure shows the comparisons of parameters in which Specificity and Accuracy are quite higher in the time step of 0.25 min. The normalized radioactivity is simulated in a time step of 0.25 min. The radioactive decay graph decreases in exponential form. Following the robot movements, the radioactivity decreases gradually showing the discrete oscillating. The system is easy to be designed, because the moving path by the radiation distribution, because the contaminated structures give the radiation data. [ABSTRACT FROM AUTHOR]