DocumentCode :
2257830
Title :
Experience driven adaptive behaviour of autonomous humanoid robots
Author :
Nauth, Peter
Author_Institution :
Fachhochschule Frankfurt a.M., Univ. of Appl. Sci., Frankfurt, Germany
fYear :
2011
fDate :
13-15 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Autonomous robots need to learn intelligent behaviour by interacting with the real world and adapting to changing environments. In order to study the adaptive behaviour of intelligent systems, an autonomous humanoid robot has been developed which understands goals, senses its environment in context with the goal and operates independently by means of experience gathering and a self-generating will.
Keywords :
adaptive systems; humanoid robots; intelligent control; autonomous humanoid robots; experience driven adaptive behaviour; experience gathering; intelligent behaviour; intelligent systems; self-generating will; Intelligent sensors; Pain; Robot kinematics; Robot sensing systems; Speech recognition; Adaptive Behaviour; Artificial Intelligence; Autonomous Systems; Computational Intelligence; Embodiment; Emotion-based Decision Making; Goal Understanding; Humanoid Robots; Self-Generating Will;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON, 2011
Conference_Location :
Livingstone
ISSN :
2153-0025
Print_ISBN :
978-1-61284-992-8
Type :
conf
DOI :
10.1109/AFRCON.2011.6072029
Filename :
6072029
Link To Document :
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