Neural Preprocessing and Control of Reactive Walking Machines : Towards Versatile Artificial Perception-Action Systems

Poramate Manoonpong

ISBN 10: 3540688021 / ISBN 13: 9783540688020

Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2007

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Biologically inspired walking machines are fascinating objects to study, from thepointofviewoftheirmechatronicaldesignaswellastherealisationofc- trol concepts. Research on this subject takes its place in a rapidly growing, highly interdisciplinary eld, uniting contributions from areas as diverse as biology, biomechanics, material science, neuroscience, engineering, and c- puter science. Nature has found fascinating solutions for the problem of legged loco- tion, and the mechanisms generating the complex motion patterns performed by animals are still not very well understood. Natural movements provide the impressionofeleganceandsmoothness,whereastheimitationoftheirarti cial analogues still looks rather clumsy. The diverse research on arti cial legged locomotion mainly concentrated on the mechanical design and on pure movement control of these machines; i.e., in general these machines were unable to perceive their environment and reactappropriately.Contributionsdevelopingembodiedcontroltechniquesfor sensor-driven behaviors are rare, and if considered, they deal only with one type of behavior; naturally, this is most often an obstacle avoidance behavior. There are only a few approaches devoted to the multimodal generation of several reactive behaviors. This book presents a pioneering approach to tackle this challenging pr- lem. Inspired by the obstacle avoidance and escape behaviors of cockroaches and scorpions, which here are understood as negative tropisms, and by the prey-capturing behavior of spiders, taken as a positive tropism, corresponding sensors and neural control modules are introduced in such a way that wa- ing machines can sense and react to environmental stimuli in an animal-like fashion.

N° de réf. du vendeur 9783540688020

Détails bibliographiques

• Titre: Neural Preprocessing and Control of Reactive Walking Machines : Towards Versatile Artificial Perception-Action Systems
• Éditeur: Springer Berlin Heidelberg, Springer Berlin Heidelberg
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 3540688021
• ISBN à 13 chiffres: 9783540688020
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 241 L x 160 H x 17 P (en millimètres) 241 millimètres de largeur par 160 millimètres de hauteur par 17 millimètres de profondeur
• Poids: 477 grammes

A propos de ce titre

Synopsis

This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. Coverage develops a modular structure of neural control generating different reactive behaviors of the physical walking machines, analyzes the neural mechanisms underlying the reactive behaviors, and demonstrates the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.

The book offers an example of artificial perception-action systems and emphasizes the close relationship between biological studies, computational neuroscience and engineering. The book will be of interest to researchers, engineers and students in the fields of robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.

Présentation de l'éditeur

This book presents biologically inspired walking machines interacting with their physical environment, and shows how the morphology and behavior control of machines can benefit from biological studies. The purpose is to develop a modular structure of neural control generating reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying them, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.