Towards iterative learning of autonomous robots using ILP


Inductive Logic Programming (ILP) induces first-order clausal theories from learning examples (positive and negative) and knowledge of the domain. Such theories can be used for gradually increasing the understanding of a robot about its world through iterative learning process. In this work we present a method for autonomous creation of negative examples… (More)
DOI: 10.1109/ICAR.2011.6088625


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