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The Future of Humanoid Robots - Research and Applications
Edited by Riadh Zaier, ISBN 978-953-307-951-6, Hard cover, 300 pages, Publisher: InTech, Published: January 20, 2012 under CC BY 3.0 license, in subject Humanoid Robotics
DOI: 10.5772/1407
This book provides state of the art scientific and engineering research findings and developments in the field of humanoid robotics and its applications. It is expected that humanoids will change the way we interact with machines, and will have the ability to blend perfectly into an environment already designed for humans. The book contains chapters that aim to discover the future abilities of humanoid robots by presenting a variety of integrated research in various scientific and engineering fields, such as locomotion, perception, adaptive behavior, human-robot interaction, neuroscience and machine learning. The book is designed to be accessible and practical, with an emphasis on useful information to those working in the fields of robotics, cognitive science, artificial intelligence, computational methods and other fields of science directly or indirectly related to the development and usage of future humanoid robots. The editor of the book has extensive R&D experience, patents, and publications in the area of humanoid robotics, and his experience is reflected in editing the content of the book.
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Book contents
- Chapter 1Performing Periodic Tasks: On-Line Learning, Adaptation and Synchronization with External Signals
- Chapter 2Autonomous Motion Adaptation Against Structure Changes Without Model Identification
- Chapter 3Design of Oscillatory Neural Network for Locomotion Control of Humanoid Robots
- Chapter 4Grasp Planning for a Humanoid Hand
- Chapter 5Design of 5 D.O.F Robot Hand with an Artificial Skin for an Android Robot
- Chapter 6Development of Multi-Fingered Universal Robot Hand with Torque Limiter Mechanism
- Chapter 7Exoskeleton and Humanoid Robotic Technology in Construction and Built Environment
- Chapter 8Affective Human-Humanoid Interaction Through Cognitive Architecture
- Chapter 9Speech Communication with Humanoids: How People React and How We Can Build the System
- Chapter 10Implementation of a Framework for Imitation Learning on a Humanoid Robot Using a Cognitive Architecture
- Chapter 11A Multi-Modal Panoramic Attentional Model for Robots and Applications
- Chapter 12User, Gesture and Robot Behaviour Adaptation for Human-Robot Interaction
- Chapter 13Learning Novel Objects for Domestic Service Robots
- Chapter 14Rob’s Robot: Current and Future Challenges for Humanoid Robots

