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Other titles in the Cognitive Systems Monographs series:
Cognitive Systems Monographs #14: Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robotsby Bojan Jakimovski
Synopses & Reviews
The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation. Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research. Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc. In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.
This book introduces a biologically inspired 'swarm' intelligence approach for reconfiguring robots, focusing particularly on its application to robots that are able to walk. It is a method aimed at making these robots more autonomous and self-capable.
About the Author
Dr. Bojan Jakimovski Universität zu Lübeck Institut für Technische Informatik Ratzeburger Allee 160 23562 Lübeck, Germany Email: email@example.com
Table of Contents
From the content: Introduction.- Biologically inspired computing and self-x properties.- Joint leg walking and hybrid robot demonstrators.- Biologically inspired robot control architecture.- Biologically inspired approaches for locomotion of a hexapod robot OSCAR.
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