Open AccessGenetic Algorithm Solution for Transfer Robot Operation
Author(s) -
Oleksandr Tsymbal,
Артем Бронніков,
Yevhenij Gudkov
Publication year - 2021
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.20.2.2172
Subject(s) - robot , pallet , computer science , upload , genetic algorithm , software , warehouse , arduino , algorithm , transfer (computing) , control engineering , embedded system , artificial intelligence , operating system , engineering , mechanical engineering , machine learning , marketing , business
The proposed article presents the research of decision-making processes for control system of transport robot, acting inside warehouse. The analysis shows the growing importance of warehouse systems for flexible integrated system. Such warehouse operations, like loading/uploading pallets and sending goods to distribution center can be fully automated by applying robots and some examples are known. Simultaneously, the wide introduction of transport robots with extended possibilities is still limited. Application of intelligent robot can significantly improve properties of warehouse systems, making them closer to Industry 4.0 standards. The functioning of a transport robot can be described as a Travelling Salesmen Problem with numerous solutions that must be effectively limited. Genetic algorithms are proposed as a basis for path generation. The algorithms and software are implemented to model warehouse transfer robots using an Arduino-robot. The results of testing show the effectiveness of the developed algorithms, software and hardware system.