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Natural language understanding based on mental image description language L md and its application to language-centered robot manipulation

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Abstract

The authors have been working on natural language understanding based on the knowledge representation language L md and its application to robot manipulation by verbal suggestion. The most remarkable feature of L md is its capability of formalizing spatiotemporal events in good correspondence with human/robotic sensations and actions, which can lead to integrated computation of sensory, motory and conceptual information. This paper describes briefly the process from text to robot action via semantic representation in L md and the experimental results of robot manipulation driven by verbal suggestion.

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Author information

Authors and Affiliations

  1. Fukiuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-ku, Fukuoka, 811-0295, Japan

    Masao Yokota, Kaoru Sugita & Tetsushi Oka

Authors
  1. Masao Yokota
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  2. Kaoru Sugita
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  3. Tetsushi Oka
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Corresponding author

Correspondence to Masao Yokota.

Additional information

This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008

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Yokota, M., Sugita, K. & Oka, T. Natural language understanding based on mental image description language L md and its application to language-centered robot manipulation. Artif Life Robotics 13, 84–88 (2008). https://doi.org/10.1007/s10015-008-0564-y

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  • DOI: https://doi.org/10.1007/s10015-008-0564-y

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