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Trajectory learning for human-robot scientific data collection

contributor authorHollinger, G.A. , Sukhatme, G.S.
date accessioned2020-03-12T20:49:17Z
date available2020-03-12T20:49:17Z
date issued2014
identifier other6907833.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1026699?show=full
formatgeneral
languageEnglish
publisherIEEE
titleTrajectory learning for human-robot scientific data collection
typeConference Paper
contenttypeMetadata Only
identifier padid8151762
subject keywordsneural nets
subject keywordsrendering (computer graphics)
subject keywordssolid modelling
subject keywords3D content streaming and rendering system
subject keywordsartificial neural network based predictor
subject keywordsclient machine
subject keywordsdynamic 3D object
subject keywordslearning process
subject keywordsneural network based predictors
subject keywordsstatic 3D object
subject keywordsComputational modeling
subject keywordsHeuristic algorithms
subject keywordsPrediction algorithms
subject keywordsPredictive models
subject keywordsSolid modeling
subject keywordsThree-dimensional displays
subject keywordsTraining
subject keywords3D Streaming
subject keywordsArtificial Neural Network
subject keywordsMachine Learning
subject keywordsPredictive Model
subject keywordsProgressive Meshing
subject keywordsUser Inte
identifier doi10.1109/ICSEC.2014.6978239
journal titleobotics and Automation (ICRA), 2014 IEEE International Conference on
filesize679977
citations0


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