Developing High-level Cognitive Functions for Service Robots

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

Authors

• Xiaoping Chen
• Jianmin Ji University of Science and Technology of China Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
• Jiehui Jiang
• Guoqiang Jin
• Feng Wang
• Jiongkun Xie

Keywords

• Human-robot interaction
• Cognitive robotics
• Modeling natural language
• Knowledge representation