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Subjective Mapping

Full Text: 06nectar.pdf PDF

Extracting a map from a stream of experience is a key problem in robotics and artificial intelligence in general. We propose a technique, called subjective mapping, that seeks to learn a fully specified predictive model, or map, without the need for expert provided models of the robot’s motion and sensor apparatus. We briefly overview the recent advancements presented elsewhere (ICML, IJCAI, and ISRR) that make this possible, examine its significance in relationship to other developments in the field, and outline open issues that remain to be addressed.

Citation

M. Bowling, D. Wilkinson, A. Ghodsi. "Subjective Mapping". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1569--1572, January 2006.

Keywords: machine learning
Category: In Conference

BibTeX

@incollection{Bowling+al:AAAI06,
  author = {Michael Bowling and Dana Wilkinson and Ali Ghodsi},
  title = {Subjective Mapping},
  Pages = {1569--1572},
  booktitle = {National Conference on Artificial Intelligence (AAAI)},
  year = 2006,
}

Last Updated: April 24, 2007
Submitted by Valerie Dacyk

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