Multi-Robot based Control System

Atef Gharbi

doi:10.14569/ijacsa.2021.0120532

Abstract

One of the most important challenge in Robotic Flexible Manufacturing Systems (RFMS) is how to develop a Multi-Robot based control system in which the robot is able to take intelligent decision to a changing environment. The problematic is how to ensure the flexibility with the proposed multi-robot based control system based on triggering strategies. The flexibility of the whole system is expanded by the capacity of the flexible robots to effectively ensure tasks assigned to it. Through this paper, three contributions can be presented: (i) the RFMS based Control Architecture by presenting in details the main components and methods, (ii) the planning model, and (iii) the different levels of flexibility in RFMS.

Highlights

Nowadays, Flexible Manufacturing Systems (FMS) are facing widely frequent market changes determined by worldwide competition, new customers’ requirements, continuous evolution of software and hardware, and the rapid introduction of new products [1]
To react rapidly to the quickly changing environment, Robotic Flexible Manufacturing Systems (RFMS) based on multi-robot control system is considered as a good solution having the properties such as adaptability and flexibility [6]
There is a huge number of research activities that has been approved in this sense [8,9,10]. It is basic for Robotic Flexible Manufacturing Systems to have capacities such as autonomy, flexibility and adaptability

Summary

INTRODUCTION

Flexible Manufacturing Systems (FMS) are facing widely frequent market changes determined by worldwide competition, new customers’ requirements, continuous evolution of software and hardware, and the rapid introduction of new products [1]. In order to cover a wide range of the production policies, the flexible robot must ensure several flexibility levels that can be categorized in the following ways: the product family, the product variant, the plan, the task, the www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 12, No 5, 2021 skill, the failure, the production control, the adaptation and the configuration. These different levels of flexibility will be detailed later in the paper. The conclusion and future work are summarized in the last section

STATE OF THE ART

PRODUCTION SYSTEM BENCHMARK

HIGH-LEVEL ROBOT-BASED CONTROL ARCHITECTURE

PLANNING MODEL

HOW DOES THE RFMS ENSURE FLEXIBILITY?

CONCLUSION