Learning skills from play: Artificial curiosity on a Katana robot arm

Hung Ngo, Matthew Luciw, Alexander Forster, Juergen Schmidhuber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

Artificial curiosity tries to maximize learning progress. We apply this concept to a physical system. Our Katana robot arm curiously plays with wooden blocks, using vision, reaching, and grasping. It is intrinsically motivated to explore its world. As a by-product, it learns how to place blocks stably, and how to stack blocks. © 2012 IEEE.
Original languageEnglish (US)
Title of host publicationProceedings of the International Joint Conference on Neural Networks
DOIs
StatePublished - Aug 22 2012
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-14

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