Embodied Mental Imagery in Cognitive Robots

This chapter is focused on discussing the concept of mental imagery as a fundamental cognitive capability to enhance the performance of cognitive robots cognitiverobot. Indeed, the emphasis will be on the embodied imagery mechanisms applied to build artificial cognitive models of motor imagery motorimagery and mental simulation to control complex behaviors of humanoid platforms, which represent the artificial body. With the aim of providing a panorama of the research activity on the topic, first we give an introduction on the neuroscientific and psychological background of mental imagery in order to help the reader to contextualize the multidisciplinary environment in which we operate. Then, we review the work done in the field of artificial cognitive systems cognitivesystem and robotics robotic to mimic the process behind the human ability of creating mental images of events and experiences, and to use this process as a cognitive mechanism to improve the behavior of complex robots. Finally, we report the detail of three recent empirical studies in which mental imagery approaches were modelled trough artificial neural networks (ANNartificialneural network (ANN)cognitiverobotembodied cognitions) to enable a cognitive robot with some human-like capabilities. These empirical studies exemplify how the proprioceptive information can be used by mental imagery models to enhance the performance of the robot, giving evidence of the embodied cognition theories in the context of artificial cognitive systems.