DocumentCode :
567260
Title :
Random movement strategies in self-exploration for a humanoid robot
Author :
Schillaci, Guido ; Hafner, Verena Vanessa
Author_Institution :
Dept. of Comput. Sci., Cognitive Robot. Group, Humboldt-Univ. Berlin, Berlin, Germany
fYear :
2011
fDate :
8-11 March 2011
Firstpage :
245
Lastpage :
246
Abstract :
Motor Babbling has been identified as a self-exploring behaviour adopted by infants and is fundamental for the development of more complex behaviours, self-awareness and social interaction skills. Here, we adopt this paradigm for the learning strategies of a humanoid robot that maps its random arm movements with its head movements, determined by the perception of its own body. Finally, we analyse three random movement strategies and experimentally test on a humanoid robot how they affect the learning speed.
Keywords :
humanoid robots; learning (artificial intelligence); mobile robots; Motor Babbling; arm movements; complex behaviours; head movements; humanoid robot; learning strategies; random movement strategy; self-awareness; self-exploration; self-exploring behaviour; social interaction skills; Abstracts; Optical sensors; Robot sensing systems; Action Space Learning; Active Motor Babbling; Babbling Strategies‥; Self-Exploration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
ISSN :
2167-2121
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121
Type :
conf
Filename :
6281319
Link To Document :
بازگشت