Abstract: The present disclosure provides a method for controlling orbital trajectories of a plurality of spacecraft in a multi-spacecraft swarm. In one aspect, the method includes deploying a DRL agent including a plurality of trajectory control models to the multi-spacecraft swarm, the trajectory control models corresponding to swarm configurations of the multi-spacecraft swarm; determining a state vector of said plurality of spacecraft in the multi-spacecraft swarm; transmitting a collective command to the multi-spacecraft swarm, such that said plurality of spacecraft in the multi-spacecraft swarm are to be distributed in one of the swarm configurations; determining actions of said plurality of spacecraft based on the state vector and the collective command; and maneuvering the multi-spacecraft swarm in accordance with the actions.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive operating data including occupant data indicating one or more occupant actions to operate a vehicle and location data specifying a location of a vehicle during collection of the occupant data, assign the operating data to a respective set in a plurality of sets, each set including operating data collected during a different specified period of time from other sets, input the plurality of sets to a machine learning program trained to output an identification of a hazard at a specified location, the hazard being a roadway condition or an obstacle that changes operation of the vehicle from a default operation, output the hazard at the specified location from the machine learning program, and send a message to a vehicle including the hazard at the specified location.

Abstract: An embodiment of the present invention is a system (and concomitant methods and computer software embodied in non-transitory computer readable media) providing formations of satellites and a method of modeling and analyzing inter-satellite relative motion of more than one satellites. These extensions include factoring in spacecraft flight dynamics for achieving real-life and/or simulated objectives.