Back to Search Start Over

Artificial Perception-Action Systems.

Authors :
Gabbay, Dov M.
Siekmann, Jörg
Bundy, A.
Carbonell, J. G.
Pinkal, M.
Uszkoreit, H.
Veloso, M.
Wahlster, W.
Wooldridge, M. J.
Manoonpong, Poramate
Source :
Neural Preprocessing & Control of Reactive Walking Machines; 2007, p67-111, 45p
Publication Year :
2007

Abstract

Where Chap. 2 investigated the biologically inspired perception-action systems, this chapter focuses on applying the principles of the biological domain to create artificial perception-action systems. First, several preprocessing units of different types of sensory signals are presented. They are used to filter and recognize the corresponding sensory signals and they can be described as perception parts. Second, the neural control of the four- and six-legged walking machines, which generates and controls the locomotion of the machines, is described. Third, the combination of the neural preprocessing and the neural control is explained. It gives rise to the ability of controlling reactive behaviors such as obstacle avoidance and sound tropism. Finally, both behavior controls are merged under a so-called behavior fusion controller by applying a sensor fusion technique to give a versatile perception-action system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540688020
Database :
Supplemental Index
Journal :
Neural Preprocessing & Control of Reactive Walking Machines
Publication Type :
Book
Accession number :
33078607
Full Text :
https://doi.org/10.1007/978-3-540-68803-7_5