Coactive learning for multiple robot search and coverage problem

Computer Engineering

In this research program we will apply machine learning techniques for solving the problem of finding desired location of node for managing effective communication within the assigned cost. The purpose of this paper is to improve the functionality and tasks performance of the multiple robots by applying coactive learning algorithm. The focus should be given to the challenges and issues which exist with the coverage system such as hostility of the set targets, change of environment, localization of resources and other equipment, occurrence of collision, and cooperation among competitive agents. The algorithm is designed for solving the team orienteering problem which is based on greedy algorithm. It can be concluded that the Swapping and add functions are used for getting the desired location of the random points.

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