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Human-Inspired Balancing and Recovery Stepping for Humanoid Robots

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.

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Detail Information
Series Title
-
Call Number
629 KAU h
Publisher
: KIT Scientific Publishing.,
Collation
-
Language
English
ISBN/ISSN
978-3-7315-0903-5
Classification
629
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computer Science
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Kurnadi
Source
-
Validator
maya
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No other version available

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