DocumentCode :
1448113
Title :
A Biologically Inspired Architecture for an Autonomous and Social Robot
Author :
Malfaz, María ; Castro-González, Álvaro ; Barber, Ramón ; Salichs, Miguel A.
Author_Institution :
Robot. Lab., Carlos III Univ. of Madrid, Leganes, Spain
Volume :
3
Issue :
3
fYear :
2011
Firstpage :
232
Lastpage :
246
Abstract :
Lately, lots of effort has been put into the construction of robots able to live among humans. This fact has favored the development of personal or social robots, which are expected to behave in a natural way. This implies that these robots could meet certain requirements, for example, to be able to decide their own actions (autonomy), to be able to make deliberative plans (reasoning), or to be able to have an emotional behavior in order to facilitate human-robot interaction. In this paper, the authors present a bioinspired control architecture for an autonomous and social robot, which tries to accomplish some of these features. In order to develop this new architecture, authors have used as a base a prior hybrid control architecture (AD) that is also biologically inspired. Nevertheless, in the later, the task to be accomplished at each moment is determined by a fix sequence processed by the Main Sequencer. Therefore, the main sequencer of the architecture coordinates the previously programmed sequence of skills that must be executed. In the new architecture, the main sequencer is substituted by a decision making system based on drives, motivations, emotions, and self-learning, which decides the proper action at every moment according to robot´s state. Consequently, the robot improves its autonomy since the added decision making system will determine the goal and consequently the skills to be executed. A basic version of this new architecture has been implemented on a real robotic platform. Some experiments are shown at the end of the paper.
Keywords :
decision making; human-robot interaction; intelligent robots; robot programming; unsupervised learning; a prior hybrid control architecture; autonomous robot; bioinspired control architecture; decision making system; emotional behavior; fix sequence; human-robot interaction; programmed sequence; self-learning; social robots; Biology; Computer architecture; Decision making; Robot kinematics; Robot sensing systems; Autonomy; cognitive robotics; control architectures; decision making systems; emotions; motivations;
fLanguage :
English
Journal_Title :
Autonomous Mental Development, IEEE Transactions on
Publisher :
ieee
ISSN :
1943-0604
Type :
jour
DOI :
10.1109/TAMD.2011.2112766
Filename :
5711644
Link To Document :
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