LEADER 03326oam 2200517 450 001 9910299498603321 005 20190911112725.0 010 $a3-319-02362-4 024 7 $a10.1007/978-3-319-02362-5 035 $a(OCoLC)878127511 035 $a(MiFhGG)GVRL6XRY 035 $a(EXLCZ)993710000000077806 100 $a20131107d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aSpatial temporal patterns for action-oriented perception in roving robots II $ean insect brain computational model /$fPaolo Arena, Luca Patane, editors 205 $a1st ed. 2014. 210 1$aCham, Switzerland :$cSpringer,$d2014. 215 $a1 online resource (xiv, 371 pages) $cillustrations (some color) 225 1 $aCognitive Systems Monographs,$x1867-4925 ;$v21 300 $a"ISSN: 1867-4925." 311 $a3-319-02361-6 320 $aIncludes bibliographical references. 327 $aPart I Models of the insect brain: from Neurobiology to Computational Intelligence -- Part II Complex dynamics for internal representation and Locomotion control -- Part III Software/Hardware cognitive architectures -- Part IV Scenarios and experiments. 330 $aThis book presents the result of a joint effort from different European Institutions within the framework of the EU funded project called SPARK II, devoted to device an insect brain computational model, useful to be embedded into autonomous robotic agents.  Part I reports the biological background on Drosophila melanogaster with particular attention to the main centers which are used as building blocks for the implementation of the insect brain computational model.  Part II  reports the mathematical approach to model the Central Pattern Generator used for the gait generation in a six-legged robot. Also the Reaction-diffusion principles in non-linear lattices are exploited to develop a compact internal representation of a dynamically changing environment for behavioral planning. In Part III  a software/hardware framework, developed to integrate the insect brain computational model in a simulated/real robotic platform, is illustrated. The different robots used for the experiments are also described.  Moreover the problems related to the vision system were addressed proposing robust solutions for object identification and feature extraction. Part IV includes the relevant scenarios used in the experiments to test the capabilities of the insect brain-inspired architecture taking as comparison the biological case. Experimental results are finally reported,  whose multimedia can be found in the SPARK II web page: www.spark2.diees.unict.it. 410 0$aCognitive systems monographs ;$vvolume 21. 606 $aRobot vision 606 $aAutonomous robots 606 $aConscious automata 606 $aSpace perception 615 0$aRobot vision. 615 0$aAutonomous robots. 615 0$aConscious automata. 615 0$aSpace perception. 676 $a629.892 702 $aArena$b Paolo$f1966- 702 $aPatane$b Luca 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299498603321 996 $aSpatial Temporal Patterns for Action-Oriented Perception in Roving Robots II$91954323 997 $aUNINA