Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Publisher: Karlsruher Institut F�r Technologie
Publication Date: 2019
Language: English
ISBN 10: 3731509032
ISBN 13: 9783731509035
Binding: Taschenbuch
Condition: Neu
Dimensions: 210 millimeters width by 148 millimeters height by 17 millimeters depth
Weight: 382 grams

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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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