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020 _a9783642207600
_99783642207600
024 7 _a10.1007/9783642207600
_2doi
035 _avtls000356959
039 9 _a201509030539
_bVLOAD
_c201405060413
_dVLOAD
_y201402191305
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aMeng, Yan.
_eeditor.
_9340709
245 1 0 _aBio-Inspired Self-Organizing Robotic Systems /
_cedited by Yan Meng, Yaochu Jin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _ax, 275 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v355
500 _aSpringer eBooks
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.  
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aJin, Yaochu.
_eeditor.
_9329091
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642207594
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-20760-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c302433
_d302433