A Cognitive Approach for Robots’ Autonomous Learning

D. M. Ramík , K. K. Madani (1) , C. Sabourin (1)

1 SYNAPSE

In this work we contribute to development of a real-time intelligent system allowing to discover and to learn autonomously new knowledge about the surrounding world by semantically interacting with human. The learning is accomplished by observation and by interaction with a human tutor. We provide experimental results as well using simulated environment as 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.

Mots clés: Intelligent system; Visual saliency; Autonomous learning; Learning by interaction

Domaines: Informatique; Vision par ordinateur et reconnaissance de formes [cs.CV]

D. M. Ramík, K. K. Madani, C. Sabourin. A Cognitive Approach for Robots’ Autonomous Learning. I. Rojas and G. Joya and J. Gabestany Eds. Computational Intelligence, Springer, pp.309‑320, 2013, ⟨10.1007/978-3-642-38679-4_30⟩. ⟨hal-01568544⟩