Knowledge-based control of a humanoid robot

Authors:
Dongkyu Choi;Yeonsik Kang;Heonyoung Lim;Bum-Jae You
Affiliations:
Cognitive Systems Laboratory, Center for the Study of Language and Information, Stanford University, Stanford, CA;Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Seoul, Korea;Robust Design Engineering Laboratory, Seoul National University, Seoul, Korea;Center for Cognitive Robotics Research, Korea Institute of Science and Technology, Seoul, Korea
Venue:
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Year:
2009

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Abstract

Today, there are increased interest and various efforts in using cognitive architectures to control robotic platforms. Recent advances to essential capabilities in robots contributed to this trend, which tries to meet the increased demand for high-level control mechanisms. The tradition of cognitive architectures aims for general intelligence, and they have some great potential for use in robots that are now increasingly more capable of complex tasks. In this paper, we introduce one such architecture, ICARUS, used in a robotic environment to provide knowledge-based control for a humanoid robot, MAHRU. We show some experimental observations in the Blocks World domain.