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dc.contributor.authorNatthapol Watthanawisuthen_US
dc.contributor.authorAdisorn Tuantranonten_US
dc.contributor.authorTeerakiat Kerdcharoenen_US
dc.contributor.otherThailand National Electronics and Computer Technology Centeren_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-09T02:10:58Z-
dc.date.available2018-11-09T02:10:58Z-
dc.date.issued2014-01-01en_US
dc.identifier.citationInternational Conference on Control, Automation and Systems. (2014), 1600-1603en_US
dc.identifier.issn15987833en_US
dc.identifier.other2-s2.0-84920174151en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84920174151&origin=inwarden_US
dc.identifier.urihttp://repository.li.mahidol.ac.th/dspace/handle/123456789/33737-
dc.description.abstract© 2014 Institute of Control, Robotics and Systems (ICROS). This paper proposes a new path planning algorithm for a mobile robot applicable for realistic uses in farmland, which utilizes ZigBee localization, GPS and simple path learning from the GPS-Tractor tracking. The aim of this work is to verify a possibility in applying the ZigBee localization with GPS to estimate the tracking position of a mobile robot working in a farmland. To enhance robot mobility in a large area, human-supervised decision is implicitly incorporated into the path guiding using tracking data from the GPS tractor. Such development combining other systems to help in path guiding instead of operating only the standalone software on mobile robot could reduce the complexity of the path planning in complex farmland. We have applied this technology in a real-world situation at GranMonte Vineyard and Winery, Thailand.en_US
dc.rightsMahidol Universityen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84920174151&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleDesign of mobile robot for real world application in path planning using ZigBee localizationen_US
dc.typeConference Paperen_US
dc.rights.holderSCOPUSen_US
dc.identifier.doi10.1109/ICCAS.2014.6987828en_US
Appears in Collections:Scopus 2011-2015

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