000 | 03042nam a22005535i 4500 | ||
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001 | 978-3-319-10289-4 | ||
003 | DE-He213 | ||
005 | 20200421111659.0 | ||
007 | cr nn 008mamaa | ||
008 | 140925s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319102894 _9978-3-319-10289-4 |
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024 | 7 |
_a10.1007/978-3-319-10289-4 _2doi |
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050 | 4 | _aTJ210.2-211.495 | |
050 | 4 | _aT59.5 | |
072 | 7 |
_aTJFM1 _2bicssc |
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072 | 7 |
_aTEC037000 _2bisacsh |
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072 | 7 |
_aTEC004000 _2bisacsh |
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082 | 0 | 4 |
_a629.892 _223 |
100 | 1 |
_aQadir, Raja Humza. _eauthor. |
|
245 | 1 | 0 |
_aSelf-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism _h[electronic resource] / _cby Raja Humza Qadir. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
300 |
_aXV, 154 p. 79 illus., 16 illus. in color. _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 |
_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v17 |
|
505 | 0 | _aIntroduction -- Background and Related Work -- Concept -- Implementation -- Experiments and Results -- Conclusion and Outlook. | |
520 | _aThis book describes how the principle of self-sufficiency can be applied to a reconfigurable modular robotic organism. It shows the design considerations for a novel REPLICATOR robotic platform, both hardware and software, featuring the behavioral characteristics of social insect colonies. Following a comprehensive overview of some of the bio-inspired techniques already available, and of the state-of-the-art in re-configurable modular robotic systems, the book presents a novel power management system with fault-tolerant energy sharing, as well as its implementation in the REPLICATOR robotic modules. In addition, the book discusses, for the first time, the concept of "artificial energy homeostasis" in the context of a modular robotic organism, and shows its verification on a custom-designed simulation framework in different dynamic power distribution and fault tolerance scenarios. This book offers an ideal reference guide for both hardware engineers and software developers involved in the design and implementation of autonomous robotic systems. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComplexity, Computational. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aRobotics and Automation. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aBiomedical Engineering. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319102887 |
830 | 0 |
_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v17 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-10289-4 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c54908 _d54908 |