Abstract

Industry 4.0 or Smart Manufacturing creates intelligent object networking and independent process management through Internet of thing and data services. Cyber-Physical System (CPS) communicates among humans, machines and products through Internet of Things (IoT). In this paper a cyber physical autonomous mobile robot (CPAMR) IoT infrastructure system has been proposed. It is capable of performing human-machine interact by allowing users to place and manage orders using cloud platform. The Enterprise Resource Planning (ERP) system processes the data and send the product's data to Radio-frequency identification (RFID) tag system for storage and printout. Through Remote Telemetry Unit (RTU), the status of the product, CPAMR system and workstations or machineries are linked to the cloud platform. Initially, system identify the locations of CPAMR, product and the desired workstation. After gathering all the required information, Artificial Intelligence Algorithms (AIA) performs real time route map planning according to the shortest distance between CPAMR and the destination. This route map planning will then be sent to the CPAMR’s micro-controller for operation. While the CPAMR is moving, it moves according to the planned route map with the assistance of the Obstacle Avoidance System until it reaches the destination and notifies cloud platform. Three individual projects representing three main functions of the proposed CPAMR have been carried out. Results show that the framework of the project is viable.

Highlights

  • If production line has the mix product schedule, this Artificial Intelligence Algorithms (AIA) for the cyber physical autonomous mobile robot (CPAMR) can arrange the route map of the product according to the virtual world requirement, current product, machinery and environment status

  • Through Remote Telemetry Unit (RTU), the status by the product, CPAMR system and workstations or machineries are linked to the cloud platform

  • The 3 primary functions of CPAMR feasibility study has been investigated by 3 different undergraduate FYP students

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Summary

Introduction

MATEC Web of Conferences feature allows the CPS system to perform self-control in completing certain task and interact with humans via interfaces [4]. In an ideal production world, mass production with single product range and long product cycle life will definitely achieve the lowest product cost per unit. Mobile robots have to be using modern navigation technique to move entirely without the need for floor markings, induction loops or magnets. It has to be real time application to deal with the any changes in production line. System is embedded with AIA which allows the CPARM system to do decision making on production schedule planning, machinery, transportation requirement from production environment, work order for a part from virtual and part status based on the virtual and physical world interaction

Related Work
Autonomous Mobile Robot Device
Docking Techniques
Non-vision based
Vision based
Sensor Fusion based
Proposed CPAMR System
System Platform
System Testbed
Results and Discussion
Conclusion
Full Text
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