A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
— In this work, we present a framework for the development of a planar mobile robot controller based on image plane feedback. We show that the design of such a motion controller ...
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Service robots will have to accomplish more and more complex, open-ended tasks and regularly acquire new skills. In this work, we propose a new approach to generating plans for su...
We describe an approach to the use of case-based techniques for natural language understanding and for action planning in a system for dialogue between a human and a robot, which ...