000 02933nam a22004695i 4500
001 978-3-642-20760-0
003 DE-He213
005 20140220083802.0
007 cr nn 008mamaa
008 110511s2011 gw | s |||| 0|eng d
020 _a9783642207600
_9978-3-642-20760-0
024 7 _a10.1007/978-3-642-20760-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aMeng, Yan.
_eeditor.
245 1 0 _aBio-Inspired Self-Organizing Robotic Systems
_h[electronic resource] /
_cedited by Yan Meng, Yaochu Jin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aX, 275 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v355
505 0 _aPart I:  Self-Organizing Swarm Robotic Systems   --   Part II: Self-Reconfigurable Modular Robots   --   Part III: Autonomous Mental Development in Robotic Systems   --   Part IV:  Special Applications   Part III: Autonomous Mental Development in Robotic Systems   --   Part IV:  Special Applications.
520 _aSelf-organizing approaches inspired from biological systems, such as social insects, genetic, molecular and cellular systems under morphogenesis, and human mental development, has enjoyed great success in advanced robotic systems that need to work in dynamic and changing environments.  Compared with classical control methods for robotic systems, the major advantages of bio-inspired self-organizing robotic systems include robustness, self-repair and self-healing in the presence of system failures and/or malfunctions, high adaptability to environmental changes, and autonomous self-organization and self-reconfiguration without a centralized control. “Bio-inspired Self-organizing Robotic Systems” provides a valuable reference for scientists, practitioners and research students working on developing control algorithms for self-organizing engineered collective systems, such as swarm robotic systems, self-reconfigurable modular robots, smart material based robotic devices, unmanned aerial vehicles, and satellite constellations.  
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aRobotics and Automation.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aJin, Yaochu.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642207594
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v355
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-20760-0
912 _aZDB-2-ENG
999 _c107839
_d107839