000 | 03148nam a22005175i 4500 | ||
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001 | 978-3-031-01544-1 | ||
003 | DE-He213 | ||
005 | 20240730163623.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2007 sz | s |||| 0|eng d | ||
020 |
_a9783031015441 _9978-3-031-01544-1 |
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024 | 7 |
_a10.1007/978-3-031-01544-1 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aStone, Peter. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979561 |
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245 | 1 | 0 |
_aIntelligent Autonomous Robotics _h[electronic resource] : _bA Robot Soccer Case Study / _cby Peter Stone. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2007. |
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300 |
_aX, 153 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 |
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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. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMachine learning. _91831 |
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650 | 0 |
_aNeural networks (Computer science) . _979562 |
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650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aMathematical Models of Cognitive Processes and Neural Networks. _932913 |
710 | 2 |
_aSpringerLink (Online service) _979563 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031004162 |
776 | 0 | 8 |
_iPrinted edition: _z9783031026720 |
830 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 _979564 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01544-1 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c84801 _d84801 |