Learning device for mobile cyber-physical system

A learning device intended to be included in a mobile cyber-physical system provided with actuators, the device comprising at least one perception sensor for perceiving the external environment of the system, at least one internal sensor able to provide information concerning the state of the system, a first learning unit configured to render a perception of the environment from the data acquired by the at least one perception sensor, a second learning unit configured to control the actuators, a generator for generating simulation scenarios of the system in its environment controlled by the first learning unit and the second learning unit, a scenario simulator and a virtualization platform for simulating the behavior of a digital twin of the system in the scenarios simulated by the generator and for adapting the parameters of the second learning unit in order to control the system so that it adapts to its environment, the second learning unit implementing a machine learning algorithm for controlling the actuators from the at least one perception sensor, the at least one internal sensor, with the machine learning algorithm being trained by means of the simulation scenarios simulated in the virtualization platform, the device comprising a component for triggering the simulation scenarios generator as a function of a predetermined type of event detected by the first learning unit, the predetermined event being triggered by a user or by a monitoring algorithm able to detect an event, the device comprising the simulation scenarios generator is configured to generate, on command of the triggering component, a simulation scenario of the environment of the system within a time window before the event is triggered, wherein the behavior of the cyber-physical system is simulated by means of a digital twin of the cyber-physical system from an initial model of the system and from information provided by the at least one internal sensor, in the simulation scenario generated by the generator, and in that the virtualization platform is configured to interact with the second learning unit that updates the parameters of the machine learning algorithm so as to modify the behavior of the cyber-physical system in said generated simulation scenario so as to no longer reproduce said triggering event in said simulation scenario.