Object Action Complexes as an Interface for Planning and Robot Control

Christopher Geib, Kira Mourao, Ron Petrick, Nico Pugeault, Mark Steedman, Norbert Krüger, Florentin Wörgötter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Much 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.
Original languageEnglish
Title of host publicationIEEE-RAS Humanoids-06 Workshop: Towards Cognitive Humanoid Robots
Number of pages6
Publication statusPublished - 2006

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