03720cam a22005295i 45000010008000000030004000080050017000120060019000290070015000480080041000630200018001040200026001220240035001480350026001830400014002090500020002230500013002430500014002560720017002700720017002870720023003040720023003270820014003501000032003642100110003962450157005064900051006635050273007145060043009875201523010306500017025536500029025706500017025996500037026166500029026536500046026827100034027287730020027627730045027827760036028278300038028638560127029019100034030289420012030629990017030749520099030919387935OSt20170105113101.0m        d        cr  n         110610s2011    gw |    s    |||| 0|eng d  a9783642225055  a9783642225048 (print)7 a10.1007/978-3-642-22505-52doi  a(WaSeSS)ssj0000609249  dWaSeSScC 4aTJ210.2-211.495 4aTJ163.12 4aTJ211.415 7aTJFM2bicssc 7aTJFD2bicssc 7aTEC0040002bisacsh 7aTEC0370002bisacsh04a629.82231 aJakimovski, Bojan.eauthor.10aBiologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots10aBiologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robotsh[electronic resource] /cby Bojan Jakimovski.1 aCognitive Systems Monographs,x1867-4925 ;v140 aFrom the content: Introduction -- Biologically inspired computing and self-x properties -- Joint leg walking and hybrid robot demonstrators -- Biologically inspired robot control architecture -- Biologically inspired approaches for locomotion of a hexapod robot OSCAR.  aLicense restrictions may limit access.  aThe increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation. Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research. Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc. In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated. 0aEngineering. 0aArtificial intelligence.14aEngineering.24aControl, Robotics, Mechatronics.24aRobotics and Automation.24aArtificial Intelligence (incl. Robotics).2 aSpringerLink (Online service)0 tSpringer eBooks 0tSpringerLink ebooks - Engineering (2011)08iPrinted edition:z9783642225048 0aCognitive Systems Monographs,v1440uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio9387935zFull text available from SpringerLink ebooks - Engineering (2011)  aVendor-generated brief record  2ddccBK  c33092d33092  00102ddc4070aSMMEbSMMEd2015-12-28l0o629.892 JAKpSMME-1918r2018-03-29w2015-12-28yBK