Produktinformation
Robustly 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.Produktkennzeichnungen
ISBN-103731509032
ISBN-139783731509035
eBay Product ID (ePID)24042129254
Produkt Hauptmerkmale
VerlagKarlsruher Institut für Technologie, Karlsruher Institut FR Technologie (Kit)
Erscheinungsjahr2019
Anzahl der Seiten260 Seiten
SpracheEnglisch
PublikationsnameHuman-Inspired Balancing And Recovery Stepping For Humanoid Robots
ProduktartLehrbuch
AutorLukas Sebastian Kaul
FormatTaschenbuch
Zusätzliche Produkteigenschaften
HörbuchNo
InhaltsbeschreibungPaperback
Item Height1cm
Item Length21cm
Item Width14cm
Item Weight382g