Abstract
This work contributes to the development of a real-time intelligent system allowing to discover and to learn autonomously new knowledge about the surrounding world by semantic interaction with human. Based on human’s curiosity mechanism, the learning is accomplished by observation and by interaction with human. We provide experimental results implementing the approach on a humanoid robot in a real-world environment including every-day objects. We show, that our approach allows a humanoid robot to learn without negative input and from small number of samples.
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Ramík, D.M., Madani, K., Sabourin, C. (2014). At Odds with Curious Cats, Curious Robots Acquire Human-Like Intelligence. In: Golovko, V., Imada, A. (eds) Neural Networks and Artificial Intelligence. ICNNAI 2014. Communications in Computer and Information Science, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-08201-1_11
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DOI: https://doi.org/10.1007/978-3-319-08201-1_11
Publisher Name: Springer, Cham
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