DocumentCode :
2511635
Title :
Biomimetic learning, not learning biomimetics: A survey of developmental learning
Author :
Jennings, Alan L. ; Ordóñez, Raúl
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Dayton, Dayton, OH, USA
fYear :
2010
fDate :
14-16 July 2010
Firstpage :
11
Lastpage :
17
Abstract :
Rather than try to learn skills directly, developmental learning seeks to create a general purpose system inspired by the human developmental process. The premise is that intelligent behavior can only be achieved through the course of experience, and attempts to circumvent this approach will lead to a plateau limiting performance. There are many facets of this approach and some of the common examples are categorization, sensorimotor control and social learning. These are relatively simple tasks for people, yet challenging for an autonomous robot. A survey of research in this recent field is presented. The concepts and the tools used are described so that other disciplines may have a understanding of this field and use the paradigm in their applications.
Keywords :
biomimetics; intelligent robots; learning (artificial intelligence); mobile robots; autonomous robot; biomimetic learning; developmental learning; human developmental process; sensorimotor control; social learning; Autism; Complexity theory; Humans; Joints; Robot sensing systems; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National
Conference_Location :
Fairborn, OH
ISSN :
0547-3578
Print_ISBN :
978-1-4244-6576-7
Type :
conf
DOI :
10.1109/NAECON.2010.5712917
Filename :
5712917
Link To Document :
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