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200 1 $aˆL'‰Orda d'Oro$fB.D. Griekov, A. Iu. Jakubovski
210   $aRoma$cEditori Riuniti$dst.1957
215   $aXVII, 365 p.$d23 cm
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035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49648
035   $a(oapen)doab49648
035   $a(EXLCZ)994920000000101057
100   $a20202102d2019      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aHuman-Inspired Balancing and Recovery Stepping for Humanoid Robots
210   $cKIT Scientific Publishing$d2019
215   $a1 online resource (X, 235 p. p.)
225 1 $aKarlsruhe Series on Humanoid Robotics
311 08$a3-7315-0903-2 
330   $aRobustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to efficient whole-body postural balancing methods, and proposes and evaluates a novel method for efficient recovery step generation, leveraging human examples and simulation-based reinforcement learning.
610   $aBalancieren
610   $aBalancing
610   $aControl systems
610   $aHumanoid robotics
610   $aHumanoide Robotik
610   $aMachine learning
610   $aMaschinelles Lernen
610   $aOptimierung
610   $aOptimization
610   $aRegelungstechnik
700   $aKaul$b Lukas Sebastian$4auth$01294136
906   $aBOOK
912   $a9910346946503321
996   $aHuman-Inspired Balancing and Recovery Stepping for Humanoid Robots$93022916
997   $aUNINA