LEADER 00888nam0-22003011i-450- 001 990002584890403321 010 $a0-387-94483-4 035 $a000258489 035 $aFED01000258489 035 $a(Aleph)000258489FED01 035 $a000258489 100 $a20000920d1995----km-y0itay50------ba 101 0 $aENG 200 1 $aIntroduction to graphical modelling$fDavid Edwards. 210 $aBerlin$cSpringer Verlag$d1995. 215 $axii, 274 p.$d24 cm 610 0 $aAnalisi multivariata e multidimensionale dei dati$amanuali 610 0 $aAnalisi multivariata e multidimensionale dei dati 676 $a519.5 700 1$aEdwards,$bDavid$0368520 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002584890403321 952 $aXI-A-45$b3506$fMAS 959 $aMAS 996 $aIntroduction to graphical modelling$9434931 997 $aUNINA DB $aING01 LEADER 03046nam 2200493 450 001 9910554262603321 005 20220628100930.0 010 $a0-691-23007-2 024 7 $a10.1515/9780691230078 035 $a(CKB)5680000000000210 035 $a(DE-B1597)589801 035 $a(DE-B1597)9780691230078 035 $a(MiAaPQ)EBC6739076 035 $a(Au-PeEL)EBL6739076 035 $a(OCoLC)1273979524 035 $a(PPN)265135664 035 $a(EXLCZ)995680000000000210 100 $a20220628d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobot ecology $econstraint-based design for long-duration autonomy /$fMagnus Egerstedt 210 1$aPrinceton ;$aOxford :$cPrinceton University Press,$d[2021] 210 4$dİ2021 215 $a1 online resource (360 p.) $c101 b/w illus. 2 tables 311 $a0-691-21168-X 330 $aA revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncertain conditions over long timescales. This multidisciplinary book draws on the principles of ecology to show how robots can take full advantage of the environments they inhabit, including as sources of energy.Magnus Egerstedt introduces a revolutionary new design paradigm?robot ecology?that makes it possible to achieve long-duration autonomy while avoiding catastrophic failures. Central to ecology is the idea that the richness of an organism?s behavior is a function of the environmental constraints imposed by its habitat. Moving beyond traditional strategies that focus on optimal policies for making robots achieve targeted tasks, Egerstedt explores how to use survivability constraints to produce both effective and provably safe robot behaviors. He blends discussions of ecological principles with the development of control barrier functions as a formal approach to constraint-based control design, and provides an in-depth look at the design of the SlothBot, a slow and energy-efficient robot used for environmental monitoring and conservation.Visionary in scope, Robot Ecology presents a comprehensive and unified methodology for designing robots that can function over long durations in diverse natural environments. 606 $aRobots$xEnvironmental aspects 606 $aAutonomous robots$xDesign and construction 606 $aRobotics$xEnvironmental aspects 615 0$aRobots$xEnvironmental aspects. 615 0$aAutonomous robots$xDesign and construction. 615 0$aRobotics$xEnvironmental aspects. 676 $a629.892 700 $aEgerstedt$b Magnus$0771533 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554262603321 996 $aRobot Ecology$92820048 997 $aUNINA