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dc.contributor.authorImtiaz, Babar
dc.contributor.authorQiao, Yuansong
dc.contributor.authorLee, Brian
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.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.publisherTUS Midlands Midwesten_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
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.contributor.affiliationAthlone Institute of Technologyen_US
dc.contributor.sponsorScience Foundation Irelanden_US
dc.identifier.orcid 0000-0003-4775-9033en_US
dc.identifier.orcid 0000-0002-1543-1589en_US
dc.identifier.orcid 0000-0002-8475-4074en_US
dc.subject.departmentSoftware Research Institute AITen_US

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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International