Mobility

Knowledge Based Reinforcement Learning Robot in Maze Environment

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Executive Summary

A simple approach for knowledge based maze solving is presented for a mobile robot. The artificial intelligence concept like reinforcement learning technique is utilized by the robot to learn the new environment. The robot travels through the environment and identifies the target by following a set of rules. After reaching the target, the robot returns back through the optimum path by avoiding dead ends. For achieving this, the robot uses a line maze solving algorithm which uses a set of replacement rules to replace the wrong paths travelled with the correct ones.

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