For modern industries, replacing manpower with machine or robot is very helpful to secure the work efficiency of the organization. Nowadays, many industries pay attention to automation system that can reduce their workload and save cost expenses. In this case, Autonomous Mobile Robot (AMR) navigation system is introduced replace the process of material handling, where it helps delivering material from one location to another. In modern industrial, robots work together with workers, so the safety concern should also consider by the system. Therefore, the purpose of this project is to build an AMR navigation system with the implementation of Artificial Intelligence (AI) technologies. By applying Deep Reinforcement Learning (DRL), it can enhance the performance of AMR navigation in term of flexibility, scalability, robustness, and so on. In future world, AMR navigation system might be able to apply extensively in many social industries such as hospital, airport, restaurant and so forth for handling the process of delivering items without supervision and control.

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