Navigational Intelligence of an Autonomous Mobile Robot participating in an Agent Based Architecture co-ordinates

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Developing a physical agent based structural design model through a mixed agents and designing the best realistic path for an autonomous mobile robot agents are one of the key area, which gains much attention to the researchers in this field of Robotics and Artificial Intelligence. This paper aim’s the study on navigational characteristic of an autonomous mobile robot agent by identifying the optimal path, based on agent based coordination. The key intent of this paper is to find a sub-optimal path for an autonomous mobile robot using master-subordinate architecture in an identified or unidentified environment based on agent’s navigation. The sub-optimal path is determined by a heuristics approach, called A Star (A*) algorithm. The communication control between the autonomous mobile robot agent and its server will be accomplished based on the open agent architecture, which will be treated as a master-subordinate architecture. The autonomous mobile robot agent use to communicate with its server to update the optimized path details, required to achieve its target position, in an optimized way. Research in the field of robotics is closely unified with simulation tools for numerous reasons. The simulation were conducted using a graphical user interface (GUI) based test-bed environment for robots, called MobileSim and the system efficiency was measured, via the generated simulation results.

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Autonomous Mobile Robot Agent Co-Operation; Path Planning; Exploration; Handoff Negotiation; Heuristic Approach

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