Bioinspired Psi intelligent control for autonomous vehicles

The term Psi denotes anomalous processes of information or energy transfer that are currently unexplained in terms of known physical or biological mechanisms [1]. A variant of Psi is precognition which relates to an event or state not yet experienced. Although Psi phenomenon is unexplained, it is an inspiration for the study in the present work. The representation of prediction of future events for motion control is explained in a framework inspired by Psi precognition. In the current research, motion control of an autonomous vehicle is of interest where the future state of the vehicle in a dynamic environment is predicted using a multi-agent/robot or a swarm configuration approach. This research is aimed to address a problem where an agent in a multi-agent/robot or a swarm configuration can inform the vehicle under investigation about the changes in the dynamic environment before the vehicle itself can experience or sense an event. The corresponding parameters and constraints to solve such problem are discussed. A generalized approach inspired by Psi precognition is proposed and the effect of this technique in the system response is studied.