Developing high-level cognitive functions for service robots

Authors:
Xiaoping Chen;Jianmin Ji;Jiehui Jiang;Guoqiang Jin;Feng Wang;Jiongkun Xie
Affiliations:
University of Science and Technology of China, Hefei, P.R. China;University of Science and Technology of China, Hefei, P.R. China;University of Science and Technology of China, Hefei, P.R. China;University of Science and Technology of China, Hefei, P.R. China;University of Science and Technology of China, Hefei, P.R. China;University of Science and Technology of China, Hefei, P.R. China
Venue:
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Year:
2010

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Abstract

The primary target of this work is human-robot collaboration, especially for service robots in complicated application scenarios. Three assumptions and four requirements are identified. State-of-the-art, general-purpose Natural Language Processing (NLP), Commonsense Reasoning (in particular, ASP), and Robotics techniques are integrated in a layered architecture. The architecture and mechanisms have been implemented on a service robot, Ke Jia. Instead of command languages, small limited segments of natural languages are employed in spoken dialog between Ke Jia and its users. The information in the dialog is extracted, classified and transferred into inner representation by Ke Jia's NLP mechanism, and further used autonomously in problem-solving and planning. A series of case study was conducted on Ke Jia with positive results, verifying its ability of acquiring knowledge through spoken dialog with users, autonomous solving problems by virtue of acquired causal knowledge, and autonomous planning for complex tasks.