Case-based reasoning for action planning by representing situations at the abstract layers

Description

A robot which can act according to natural language instructions must complement information from experiences and common knowledge to adapt to various situations. In this paper, we propose a method to evaluate the similarities of concepts by representing situations in abstract layers which are hierarchically arranged. We also present a method for case-based reasoning for planning which uses the layers as viewpoints for case retrieval. The technique is applied to the action planning for the house-work robot.

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