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03045nam a22005415i 4500 |
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978-3-319-10289-4 |
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DE-He213 |
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20151103124025.0 |
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cr nn 008mamaa |
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140925s2015 gw | s |||| 0|eng d |
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|a 9783319102894
|9 978-3-319-10289-4
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|a 10.1007/978-3-319-10289-4
|2 doi
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|d GrThAP
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|a TJ210.2-211.495
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|a T59.5
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|a TJFM1
|2 bicssc
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|a TEC004000
|2 bisacsh
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|a 629.892
|2 23
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|a Qadir, Raja Humza.
|e author.
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|a Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
|h [electronic resource] /
|c by Raja Humza Qadir.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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| 300 |
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|a XV, 154 p. 79 illus., 16 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 17
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| 505 |
0 |
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|a Introduction -- Background and Related Work -- Concept -- Implementation -- Experiments and Results -- Conclusion and Outlook.
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| 520 |
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|a This 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.
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| 650 |
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0 |
|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Complexity, Computational.
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| 650 |
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|a Robotics.
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| 650 |
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|a Automation.
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| 650 |
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|a Biomedical engineering.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Robotics and Automation.
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| 650 |
2 |
4 |
|a Complexity.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Biomedical Engineering.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319102887
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| 830 |
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0 |
|a Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 17
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-10289-4
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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