000 | 02941nam a22005775i 4500 | ||
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001 | 978-3-540-77520-1 | ||
003 | DE-He213 | ||
005 | 20161121230546.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 gw | s |||| 0|eng d | ||
020 |
_a9783540775201 _9978-3-540-77520-1 |
||
024 | 7 |
_a10.1007/978-3-540-77520-1 _2doi |
|
050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aTEC037000 _2bisacsh |
|
072 | 7 |
_aTEC004000 _2bisacsh |
|
082 | 0 | 4 |
_a629.892 _223 |
100 | 1 |
_aMilford, Michael John. _eauthor. |
|
245 | 1 | 0 |
_aRobot Navigation from Nature _h[electronic resource] : _bSimultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models / _cby Michael John Milford. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
|
300 |
_aXX, 196 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 |
||
490 | 1 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v41 |
|
505 | 0 | _aMapping and Navigation -- Robotic Mapping Methods -- Biological Navigation Systems -- Emulating Nature: Models of Hippocampus -- Robotic or Bio-inspired: A Comparison -- Pilot Study of a Hippocampal Model -- RatSLAM: An Extended Hippocampal Model -- Goal Memory: A Pilot Study -- Extending RatSLAM: The Experience Mapping Algorithm -- Exploration, Goal Recall, and Adapting to Change -- Discussion. | |
520 | _aThis book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. The aim of the work was to determine the extent to which hippocampal models can be used to provide a robot with functional mapping and navigation capabilities in real world environments. The focus of the research was on achieving practical robot performance, rather than maintaining biological plausibility. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aSystem theory. | |
650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aMechatronics. | |
650 | 0 | _aAutomation. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aControl, Robotics, Mechatronics. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aSystems Theory, Control. |
650 | 2 | 4 | _aNeurosciences. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540775195 |
830 | 0 |
_aSpringer Tracts in Advanced Robotics, _x1610-7438 ; _v41 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-77520-1 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c500565 _d500565 |