Extending C+ with Composite Actions for Robotic Task Planning

Authors Xiaoping Chen, Guoqiang Jin, Fangkai Yang



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Author Details

Xiaoping Chen
Guoqiang Jin
Fangkai Yang

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Xiaoping Chen, Guoqiang Jin, and Fangkai Yang. Extending C+ with Composite Actions for Robotic Task Planning. In Technical Communications of the 28th International Conference on Logic Programming (ICLP'12). Leibniz International Proceedings in Informatics (LIPIcs), Volume 17, pp. 404-414, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012) https://doi.org/10.4230/LIPIcs.ICLP.2012.404

Abstract

This paper extends action language C+ by introducing composite actions as sequential execution of other actions, leading to a more intuitive and flexible way to represent action domains, better exploit a general-purpose formalization, and improve the reasoning efficiency for large domains. Our experiments show that the composite actions can be seen as a method of knowledge acquisition for intelligent robots.

Subject Classification

Keywords
  • Reasoning about Actions
  • Action Languages
  • Robotic Task Planning

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