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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24 July 2023
SECOND INTERNATIONAL VIRTUAL CONFERENCE ON INTELLIGENT ROBOTICS, MECHATRONICS AND AUTOMATION SYSTEMS (IRMAS2022): Theme: Innovation towards Automated Future
22–23 April 2022
Chennai, India
Research Article|
July 24 2023
Autonomous mobile robot with artificial intelligence method Available to Purchase
Kai Wen The;
Kai Wen The
a
Asia Pacific University of Technology and Innovation
, Kuala Lumpur, Malaysia
aCorresponding Authour: [email protected]
Search for other works by this author on:
Gobee Suresh
Gobee Suresh
b
Asia Pacific University of Technology and Innovation
, Kuala Lumpur, Malaysia
Search for other works by this author on:
Kai Wen The
a
Gobee Suresh
b
Asia Pacific University of Technology and Innovation
, Kuala Lumpur, Malaysia
aCorresponding Authour: [email protected]
AIP Conf. Proc. 2788, 070006 (2023)
Citation
Kai Wen The, Gobee Suresh; Autonomous mobile robot with artificial intelligence method. AIP Conf. Proc. 24 July 2023; 2788 (1): 070006. https://doi.org/10.1063/5.0148672
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