Buch, Englisch, Band 14, 203 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 534 g
Reihe: Cognitive Systems Monographs
Buch, Englisch, Band 14, 203 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 534 g
Reihe: Cognitive Systems Monographs
ISBN: 978-3-642-22504-8
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
