A reactive sensor-based system for solving navigation problems of an autonomous robot

In this paper we discuss the architecture a reactive agent that copes with autonomous robot navigation problems, with partial knowledge of the environment, and capable of accepting problems due to limit cycles or deadlocks. The agent is part of a general multilevel cognitive framework and we focus here on the model of the agent and the navigation problems it is well suited for, with particular attention to those ones which require a knowledge-based approach.