Testing incremental adaptation

Abstract

A robot system operating in an environment in which there is uncertainty and change needs to combine the ability to react with the ability to plan ahead. In a previous paper we proposed a solution to the problems of integrating planning and reaction: cast planning as adaptation of a reactive system. In this paper, we present our first experimental results from the planner-reactor architecture, and compare the approach with other work in the planning and learning literatures.