Cognitive Emotion Layer Architecture for Intelligent UAV Planning, Behavior and Control

Remote planetary exploration by autonomous vehicles in uncertain environments requires dynamic and highly adaptive decision making, behavior, and control mechanisms to maximize the chances of successful mission completion. We present in this paper an adaptive architecture for cognition, behavior and control of an autonomous unmanned aerial vehicle (UAV) Mars explorer called the Cognitive Emotion Layer (CEL) architecture that uses dynamical emotional response mechanisms to model explorer´s response to continuous stimuli and provides adaptive decision making and control capabilities for the exploration platform