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Object Action Complexes as an Interface for Planning and Robot Controlby: Christopher Geib, Kira Mourão, Ron Petrick, Nico Pugeault, Mark Steedman, Norbert Krueger, Florentin Wörgötter
In Workshop: Towards Cognitive Humanoid Robots at IEEE RAS Int Conf. Humanoid Robots (4 December 2006)
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AbstractMuch prior work in integrating high-level artificial intelligence planning technology with low-level robotic control has foundered on the significant representational differences between these two areas of research. We discuss a proposed solution to this representational discontinuity in the form of object-action complexes (OACs). The pairing of actions and objects in a single interface representation captures the needs of both reasoning levels, and will enable machine learning of high-level action representations from low-level control representations.
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