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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/22871
DC 欄位值語言
dc.contributor.authorShao-Hung Chanen_US
dc.contributor.authorXiaoyue Xuen_US
dc.contributor.authorPing-Tsang Wuen_US
dc.contributor.authorMing-Li Chiangen_US
dc.contributor.authorLi-Chen Fuen_US
dc.date.accessioned2022-11-01T07:44:56Z-
dc.date.available2022-11-01T07:44:56Z-
dc.date.issued2019-10-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/22871-
dc.description06-09 October 2019 Bari, Italyen_US
dc.description.abstractThe following topics are dealt with: learning (artificial intelligence); medical signal processing; neurophysiology; electroencephalography; mobile robots; feature extraction; brain-computer interfaces; neural nets; convolutional neural nets; production engineering computing.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)en_US
dc.subjectCollision avoidanceen_US
dc.subjectTrainingen_US
dc.subjectRobot sensing systemsen_US
dc.subjectRobot kinematicsen_US
dc.subjectPath planningen_US
dc.subjectLabelingen_US
dc.titleReal-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labelingen_US
dc.typeconference paperen_US
dc.relation.conference2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)en_US
dc.identifier.doi10.1109/SMC.2019.8914281-
item.openairetypeconference paper-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
crisitem.author.deptDepartment of Electrical Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
顯示於:電機工程學系
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