Publication:
Collision-free Path Planning for Overhead Crane System Using Modified Ant Colony Algorithm

dc.contributor.authorJatuporn Waikoonveten_US
dc.contributor.authorNattapong Suksabaien_US
dc.contributor.authorIttichote Chuckpaiwongen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2022-08-04T08:34:10Z
dc.date.available2022-08-04T08:34:10Z
dc.date.issued2021-03-10en_US
dc.description.abstractThis paper presents a method of collision-free path planning of an overhead crane system. To obtain a collision-free path, the ant colony algorithm was modified by including algorithms for a crane trajectory generation and a crane control system. The modified ant colony algorithm was performed on a crane workspace model. The performance of the method is presented. The results of each sub processes are presented and discussed.en_US
dc.identifier.citationProceeding of the 2021 9th International Electrical Engineering Congress, iEECON 2021. (2021), 325-328en_US
dc.identifier.doi10.1109/iEECON51072.2021.9440291en_US
dc.identifier.other2-s2.0-85107747672en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/76910
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107747672&origin=inwarden_US
dc.subjectEnergyen_US
dc.subjectEngineeringen_US
dc.subjectPhysics and Astronomyen_US
dc.titleCollision-free Path Planning for Overhead Crane System Using Modified Ant Colony Algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107747672&origin=inwarden_US

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