A Study of the Brachiation Type of Mobile Robot : 7th Report, Behavior Learning for Hierarchical Behavior-based Controller

This paper introduces a brachiation type locomotion robot with 13D. O. F. and proposes a learning algorithm for a hierarchical behavior based controller. The brachiation type locomotion robot "Brachiator III" has similar mechanism and dimensions to a long-armed ape, which can perform dexte...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 2001/10/25, Vol.67(662), pp.3204-3211
Hauptverfasser: HASEGAWA, Yasuhisa, ITO, Yoshikuni, FUKUDA, Toshio
Format: Artikel
Sprache:eng ; jpn
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper introduces a brachiation type locomotion robot with 13D. O. F. and proposes a learning algorithm for a hierarchical behavior based controller. The brachiation type locomotion robot "Brachiator III" has similar mechanism and dimensions to a long-armed ape, which can perform dexterous motion using a redundant mechanism. A hierarchical behavior-based approach is useful to design a controller for a dynamical motion with multi-degree of freedoms. However some difficulties remain in adaptation phase when the objective behavior or environment conditions are changed. We propose a novel algorithm to improve a global behavior against these changes using Newton Raphson method. This algorithm measures the effects of local behavior controllers to the global behavior as a gradient information, and changes the amplitude of each behavior controller in fewer trials. This learning algorithm is applied to the brachiation robot control.
ISSN:0387-5024
1884-8354
DOI:10.1299/kikaic.67.3204