Adaptive Automata for Independent Autonomous Navigation in Unknown Environment

Adaptive automata have been developed as a formal device intended to handle complex input languages, featuring context dependencies. As other adaptive formalisms, adaptive automata collect information from its inputs and may change its own behavior in response to that information. Therefore, such formalisms are able to dynamically acquire and represent knowledge. Independent navigation require environment scanning by the autonomous vehicle and a corresponding update of the information included in the model of the environment, allowing proper path planning and adequate motion control. This paper briefly introduces adaptive automata and discusses its use to solve some aspects of the problem of environment mapping and path planning for independent autonomous navigation of vehicles in unknown environment.