This paper presents an intelligent delta robot for maze solving problem by using a deep Q-Learning. The intelligent delta robot can solve maze problem with an optimal path from a remote high-performance server. The MQTT technique is applied to build the communication between the delta robot and the serve in this paper. An experimental result presented here to show the effectiveness and usefulness for our presented intelligent delta robot.
