Developing high-level cognitive functions for service robots

摘要: 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), Robotics techniques integrated a layered architecture. architecture mechanisms have been implemented on robot, Ke Jia. Instead command languages, small limited segments natural languages employed spoken dialog between Jia its users. information the extracted, classified transferred into inner representation by Jia's NLP mechanism, further used autonomously problem-solving planning. A series case study was conducted with positive results, verifying ability acquiring knowledge through users, autonomous solving problems virtue acquired causal knowledge, planning complex tasks.