Autonomous navigation in the robots' local space by multi criteria decision making

Abstract

The field of autonomous robot navigation has become a prominent study subject in the past decades. The main problem of these systems is to assist the robot in leading it through unknown and dangerous environments while also accomplishing the given tasks. In practice, these human uncontrolled devices can be used in search and rescue missions or area mapping requests. The fundamental part of effective autonomous navigation is exploration strategy. Until this day, many different solutions to this problem have been suggested, and multi criteria decision making methods (MCDM) can be considered the state of the art methods that are used to tackle this problem. In this paper, new robot surroundings evaluation criteria are suggested and navigation in local robot space methodology are proposed.