Surface micromachined CMUTs for liquid phase sensing
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Year
: 2014DOI: 10.1109/IROS.2014.6942664
Keyword(s): adaptive control,human-robot interaction,intelligent robots,learning (artificial intelligence),manipulators,multi-robot systems,adaptive controller,cooperative dynamic object manipulation,cooperative suspended object manipulation,energy based swing-up control,energy-based control,human-robot experimental setup,human-robot team,manipulation capabilities,reinforcement learning,robot-robot team,suspended objects,Adaptation models,Approximation methods,Frequency estimation,Gold
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Surface micromachined CMUTs for liquid phase sensing
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| contributor author | Sapeliauskas, E. | |
| contributor author | Barauskas, D. | |
| contributor author | Vanagas, G. | |
| contributor author | Virzonis, D. | |
| date accessioned | 2020-03-12T21:16:01Z | |
| date available | 2020-03-12T21:16:01Z | |
| date issued | 2014 | |
| identifier other | 6931951.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1042841 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Surface micromachined CMUTs for liquid phase sensing | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8170652 | |
| subject keywords | adaptive control | |
| subject keywords | human-robot interaction | |
| subject keywords | intelligent robots | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | manipulators | |
| subject keywords | multi-robot systems | |
| subject keywords | adaptive controller | |
| subject keywords | cooperative dynamic object manipulation | |
| subject keywords | cooperative suspended object manipulation | |
| subject keywords | energy based swing-up control | |
| subject keywords | energy-based control | |
| subject keywords | human-robot experimental setup | |
| subject keywords | human-robot team | |
| subject keywords | manipulation capabilities | |
| subject keywords | reinforcement learning | |
| subject keywords | robot-robot team | |
| subject keywords | suspended objects | |
| subject keywords | Adaptation models | |
| subject keywords | Approximation methods | |
| subject keywords | Frequency estimation | |
| subject keywords | Gold | |
| identifier doi | 10.1109/IROS.2014.6942664 | |
| journal title | ltrasonics Symposium (IUS), 2014 IEEE International | |
| filesize | 2120428 | |
| citations | 0 |