Trajectory learning for human-robot scientific data collection
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: 2014DOI: 10.1109/ICSEC.2014.6978239
Keyword(s): neural nets,rendering (computer graphics),solid modelling,3D content streaming and rendering system,artificial neural network based predictor,client machine,dynamic 3D object,learning process,neural network based predictors,static 3D object,Computational modeling,Heuristic algorithms,Prediction algorithms,Predictive models,Solid modeling,Three-dimensional displays,Training,3D Streaming,Artificial Neural Network,Machine Learning,Predictive Model,Progressive Meshing,User Inte
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Trajectory learning for human-robot scientific data collection
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| contributor author | Hollinger, G.A. , Sukhatme, G.S. | |
| date accessioned | 2020-03-12T20:49:17Z | |
| date available | 2020-03-12T20:49:17Z | |
| date issued | 2014 | |
| identifier other | 6907833.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1026699?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Trajectory learning for human-robot scientific data collection | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8151762 | |
| subject keywords | neural nets | |
| subject keywords | rendering (computer graphics) | |
| subject keywords | solid modelling | |
| subject keywords | 3D content streaming and rendering system | |
| subject keywords | artificial neural network based predictor | |
| subject keywords | client machine | |
| subject keywords | dynamic 3D object | |
| subject keywords | learning process | |
| subject keywords | neural network based predictors | |
| subject keywords | static 3D object | |
| subject keywords | Computational modeling | |
| subject keywords | Heuristic algorithms | |
| subject keywords | Prediction algorithms | |
| subject keywords | Predictive models | |
| subject keywords | Solid modeling | |
| subject keywords | Three-dimensional displays | |
| subject keywords | Training | |
| subject keywords | 3D Streaming | |
| subject keywords | Artificial Neural Network | |
| subject keywords | Machine Learning | |
| subject keywords | Predictive Model | |
| subject keywords | Progressive Meshing | |
| subject keywords | User Inte | |
| identifier doi | 10.1109/ICSEC.2014.6978239 | |
| journal title | obotics and Automation (ICRA), 2014 IEEE International Conference on | |
| filesize | 679977 | |
| citations | 0 |