LEADER 04835nam 22008295 450 001 9910299480603321 005 20200703231203.0 010 $a9783319020068 010 $a3319020064 024 7 $a10.1007/978-3-319-02006-8 035 $a(CKB)3710000000078588 035 $a(DE-He213)978-3-319-02006-8 035 $a(SSID)ssj0000987997 035 $a(PQKBManifestationID)11619323 035 $a(PQKBTitleCode)TC0000987997 035 $a(PQKBWorkID)10950560 035 $a(PQKB)10498557 035 $a(MiAaPQ)EBC3101227 035 $a(PPN)172424534 035 $a(EXLCZ)993710000000078588 100 $a20130830d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbabilistic Approaches to Robotic Perception /$fby Joćo Filipe Ferreira, Jorge Miranda Dias 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XXX, 242 p. 89 illus., 79 illus. in color.) 225 1 $aSpringer Tracts in Advanced Robotics,$x1610-7438 ;$v91 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783319020051 311 08$a3319020056 330 $aThis book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelled in a way that will increase the autonomy of a robot? How should a robotic system perceive, infer, decide and act efficiently? These are two of the challenging questions robotics community and robotic researchers have been facing. The development of robotic domain by the 1980s spurred the convergence of automation to autonomy, and the field of robotics has consequently converged towards the field of artificial intelligence (AI). Since the end of that decade, the general public?s imagination has been stimulated by high expectations on autonomy, where AI and robotics try to solve difficult cognitive problems through algorithms developed from either philosophical and anthropological conjectures or incomplete notions of cognitive reasoning. Many of these developments do not unveil even a few of the processes through which biological organisms solve these same problems with little energy and computing resources. The tangible results of this research tendency were many robotic devices demonstrating good performance, but only under well-defined and constrained environments. The adaptability to different and more complex scenarios was very limited.   In this book, the application of Bayesian models and approaches are described in order to develop artificial cognitive systems that carry out complex tasks in real world environments, spurring the design of autonomous, intelligent and adaptive artificial systems, inherently dealing with uncertainty and the ?irreducible incompleteness of models?. 410 0$aSpringer Tracts in Advanced Robotics,$x1610-7438 ;$v91 606 $aRobotics 606 $aAutomation 606 $aArtificial intelligence 606 $aCognitive psychology 606 $aOptical data processing 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aCognitive Psychology$3https://scigraph.springernature.com/ontologies/product-market-codes/Y20060 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 615 0$aRobotics. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aCognitive psychology. 615 0$aOptical data processing. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aRobotics and Automation. 615 24$aArtificial Intelligence. 615 24$aCognitive Psychology. 615 24$aImage Processing and Computer Vision. 615 24$aSignal, Image and Speech Processing. 676 $a006.3 700 $aFerreira$b Joćo Filipe$4aut$4http://id.loc.gov/vocabulary/relators/aut$0619166 702 $aMiranda Dias$b Jorge$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299480603321 996 $aProbabilistic Approaches to Robotic Perception$91951224 997 $aUNINA