Analysis of prediction methods for swarm robotic — In the case of oil spill tracking

Abstract

Discharge of liquid petroleum on water surface, known as oil spill, frequently happen as result of an offshore well vessels failures or transportation accidents. In order to efficient treatment of these environmental catastrophes and diminishing the spots, the information about precise location and potential situation of the oil spill in future is significantly useful. Therefore, in this research the focus is to track and predict the spread of the slicking oil. More precisely, an algorithm of swarm robotic is proposed to engage the synchronized fuzzy controlled robots, in order to pursue the boundaries of an oil spill which is influenced by environmental forces such as wind and wave currents. Three methods of prediction such as linear extrapolation, Spline extrapolation and linear regression are applied and analyzed in this purpose.