| 000 | 03182nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-32237-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240730165332.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230512s2023 sz | s |||| 0|eng d | ||
| 020 |
_a9783031322372 _9978-3-031-32237-2 |
||
| 024 | 7 |
_a10.1007/978-3-031-32237-2 _2doi |
|
| 050 | 4 | _aT59.5 | |
| 072 | 7 |
_aTJFM _2bicssc |
|
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_aTEC004000 _2bisacsh |
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| 072 | 7 |
_aTJFM _2thema |
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| 082 | 0 | 4 |
_a629.8 _223 |
| 100 | 1 |
_aHerrmann, Jeffrey W. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988509 |
|
| 245 | 1 | 0 |
_aMetareasoning for Robots _h[electronic resource] : _bAdapting in Dynamic and Uncertain Environments / _cby Jeffrey W. Herrmann. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
| 300 |
_aXIII, 92 p. 28 illus., 18 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSynthesis Lectures on Computer Science, _x1932-1686 |
|
| 505 | 0 | _aIntroduction to Metareasoning -- Metareasoning Design Options -- Implementing Metareasoning -- Synthesizing Metareasoning Policies -- Testing Metareasoning Policies. | |
| 520 | _aThis book is a state of the art resource that robotics researchers and engineers can use to make their robots and autonomous vehicles smarter. Readers will be able to describe metareasoning, select an appropriate metareasoning approach, and synthesize metareasoning policies. Metareasoning for Robots adopts a systems engineering perspective in which metareasoning is an approach that can improve the overall robot or autonomous system, not just one component or subsystem. This book introduces key concepts, discusses design options for metareasoning approaches and policies, and presents approaches for testing and evaluation of metareasoning policies. After considering the conceptual design phase, it discusses how to implement metareasoning in the robot's software architecture and how to synthesize metareasoning policies. Every chapter has references to valuable works on robotics and metareasoning, and the book uses examples from the author's own research and from other research groups to illustrate these ideas. In addition, this book provides links to books and papers for readers who wish to investigate these topics further. | ||
| 650 | 0 |
_aAutomation. _92392 |
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| 650 | 0 |
_aRobotics. _92393 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 1 | 4 |
_aAutomation. _92392 |
| 650 | 2 | 4 |
_aRobotic Engineering. _946359 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 710 | 2 |
_aSpringerLink (Online service) _988511 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031322365 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031322389 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031322396 |
| 830 | 0 |
_aSynthesis Lectures on Computer Science, _x1932-1686 _988512 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-32237-2 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c86260 _d86260 |
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