Learning parameters from manual task assignments for mobile robots

For case where exist some threats in field of task assignment, threat avoidance is needed to be considered. Then both fast arrival and threat avoidance are used to form the performance measure. The policies of task assignment decide which factor is mostly considered between arrival time and threat avoidance. The purpose of this research is estimating the hidden policy from user´s manual task assignment. Using Naive-Bayes classification, we achieved satisfactory policy estimation for task assignment from testing several users.