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_c387054 _d387054 |
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| 001 | 387054 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230211111041.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230211s2007 sz | s |||| 0|eng d | ||
| 020 | _a9783031015441 | ||
| 024 | 7 |
_a10.1007/978-3-031-01544-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTJ211.495 _b2007 EB |
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| 100 | 1 |
_aStone, Peter, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686711 _d1971- |
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| 245 | 1 | 0 |
_aIntelligent Autonomous Robotics : _bA Robot Soccer Case Study _cby Peter Stone |
| 250 | _a1st edition 2007 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2007 |
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| 300 | _a1 recurso en línea (X, 153 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616 |
|
| 505 | 0 | _aIntroduction -- The Class -- Initial Behaviors -- Vision -- Movement -- Fall Detection -- Kicking -- Localization -- Communication -- General Architecture -- Global Map -- Behaviors -- Coordination -- Simulator -- UT Assist -- Conclusion. | |
| 520 | _aRobotics technology has recently advanced to the point of being widely accessible for relatively low-budget research, as well as for graduate, undergraduate, and even secondary and primary school education. This lecture provides an example of how to productively use a cutting-edge advanced robotics platform for education and research by providing a detailed case study with the Sony AIBO robot, a vision-based legged robot. The case study used for this lecture is the UT Austin Villa RoboCup Four-Legged Team. This lecture describes both the development process and the technical details of its end result. The main contributions of this lecture are (i) a roadmap for new classes and research groups interested in intelligent autonomous robotics who are starting from scratch with a new robot, and (ii) documentation of the algorithms behind our own approach on the AIBOs with the goal of making them accessible for use on other vision-based and/or legged robot platforms. | ||
| 988 | _aSynthesis Collection of Technology_2007 | ||
| 650 | 7 |
_2embne _9160722 _aRobots móviles |
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| 650 | 7 |
_2embne _9668436 _aVisión artificial (Robótica) |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783031004162 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031026720 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01544-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2023 _dz _eIG _zSI |
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