• 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