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Towards concept anchoring for cognitive robots

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Abstract

We present a model for anchoring categorical conceptual information which originates from physical perception and the web. The model is an extension of the anchoring framework which is used to create and maintain over time semantically grounded sensor information. Using the augmented anchoring framework that employs complex symbolic knowledge from a commonsense knowledge base, we attempt to ground and integrate symbolic and perceptual data that are available on the web. We introduce conceptual anchors which are representations of general, concrete conceptual terms. We show in an example scenario how conceptual anchors can be coherently integrated with perceptual anchors and commonsense information for the acquisition of novel concepts.

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Notes

  1. http://www.semantic-robot-vision-challenge.org/.

  2. We use the term concept to refer to concrete and not abstract concepts since abstract concepts have no physical referents while concrete concepts are available to the senses. Concrete concepts in turn can be either general terms referring to groups, or specific terms referring to individuals.

  3. http://www.aass.oru.se/~peis.

  4. http://www.trueknowledge.com.

  5. http://research.cyc.com/.

  6. http://www.w3.org/TR/owl-features/.

  7. http://jena.sourceforge.net/.

  8. http://clarkparsia.com/pellet/.

  9. http://www.trueknowledge.com/.

  10. http://dbpedia.org/About. The DBpedia project aims to extract structured information from Wikipedia, making it accessible on the Web. Currently, the knowledge base is considered as a central interlinking hub for the emerging Web of data [3].

  11. https://java3d.dev.java.net/.

  12. https://odejava.dev.java.net/.

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Acknowledgments

This research project was funded by the Swedish Research Council (Vetenskapsrådet) whose support the authors gratefully acknowledge. The authors also thank Cycorp Inc. for offering their ResearchCyc platform used in this research.

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Authors and Affiliations

  1. Cognitive Robotics Lab, Department of Science and Technology, Örebro University, 70281,  Örebro, Sweden

    Marios Daoutis, Silvia Coradeschi & Amy Loutfi

Authors
  1. Marios Daoutis
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  2. Silvia Coradeschi
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  3. Amy Loutfi
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Correspondence to Marios Daoutis.

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Daoutis, M., Coradeschi, S. & Loutfi, A. Towards concept anchoring for cognitive robots. Intel Serv Robotics 5, 213–228 (2012). https://doi.org/10.1007/s11370-012-0117-z

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