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Implementation of reinforcement learning algorithms for robotic pick and place with non-visual sensing

dc.contributor.authorImtiaz, Babar
dc.contributor.authorQiao, Yuansong
dc.contributor.authorLee, Brian
dc.date.accessioned2022-02-15T10:00:11Z
dc.date.available2022-02-15T10:00:11Z
dc.date.copyright2022
dc.date.issued2022
dc.identifier.citationImtiaz, B., Qiao, Y., Lee, B. (2022). Implementation of reinforcement learning algorithms for robotic pick and place with non-visual sensing. Presented at TUS MMW Poster Presentation Seminar January 2022en_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3897
dc.description.abstractThe term ‘Industry 4.0’ appeared for the first time in 2011 and saw the introduction of many cutting-edge technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Digital Twins (DT). World leading scholar Warren G. Bennis was quoted in 2016 as follows: The factory of the future will only have two employees: a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. Warren Bennis.en_US
dc.formatPDFen_US
dc.language.isoengen_US
dc.publisherTUS Midlands Midwesten_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectReinforcement learning algorithmsen_US
dc.subjectRobotic pick and placeen_US
dc.subjectNon-visual sensingen_US
dc.titleImplementation of reinforcement learning algorithms for robotic pick and place with non-visual sensingen_US
dc.typeinfo:eu-repo/semantics/otheren_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.contributor.sponsorScience Foundation Irelanden_US
dc.identifier.orcidhttps://orcid.org/ 0000-0003-4775-9033en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-1543-1589en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-8475-4074en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentSoftware Research Institute AITen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US
dc.relation.projectid16/RC/3918en_US


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