LEADER 01783nam  2200421z- 450 
001 9910346946503321
005 20231214133255.0
010   $a1000091605
035   $a(CKB)4920000000101057
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49648
035   $a(EXLCZ)994920000000101057
100   $a20202102d2019      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHuman-Inspired Balancing and Recovery Stepping for Humanoid Robots
210   $cKIT Scientific Publishing$d2019
215   $a1 electronic resource (X, 235 p. p.)
225 1 $aKarlsruhe Series on Humanoid Robotics
311   $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   $aMaschinelles Lernen
610   $aBalancing
610   $aOptimierung
610   $aRegelungstechnik
610   $aMachine learning
610   $aBalancieren
610   $aControl systems
610   $aHumanoide Robotik
610   $aHumanoid robotics
610   $aOptimization
700   $aKaul$b Lukas Sebastian$4auth$01294136
906   $aBOOK
912   $a9910346946503321
996   $aHuman-Inspired Balancing and Recovery Stepping for Humanoid Robots$93022916
997   $aUNINA