Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Dublin Core
Title
Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Subject
Computer Science
Description
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.
Creator
Kaul, Lukas Sebastian
Source
https://www.ksp.kit.edu/9783731509035
Publisher
KIT Scientific Publishing
Date
2019
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Citation
Kaul, Lukas Sebastian, “Human-Inspired Balancing and Recovery Stepping for Humanoid Robots,” Open Educational Resource (OER) - USK Library, accessed April 24, 2025, http://202.4.186.74:8004/oer/items/show/4429.