The rapid developments of artificial intelligence in the last decade are influencing aerospace
engineering to a great extent and research in this context is proliferating. We share our …

In the design of multitarget interplanetary missions, there are always many options available,
making it often impractical to optimize in detail each transfer trajectory in a preliminary …

After providing a brief historical overview on the synergies between artificial intelligence
research, in the areas of evolutionary computations and machine learning, and the optimal …

Active debris removal (ADR) allows for the disposal of inactive satellites and larger objects,
preventing the build-up of space junk and allowing to replace aging agents in a …

In the preliminary trajectory design of the multi-target rendezvous problem, a model that can
quickly estimate the cost of the orbital transfer is essential. The estimation of the transfer time …

In the preliminary interplanetary mission design stage, a fast low-thrust (LT) transfer cost
approximator will improve the mission design efficiency and enable us to design more …

In this paper, neural networks are trained to learn the optimal time, the initial costates, and
the optimal control law of time-optimal low-thrust interplanetary trajectories. The aim is to …

During the initial phase of space trajectory planning and optimization, it is common to have
to solve large dimensional global optimization problems. In particular continuous low-thrust …

The interest for near-Earth asteroids for scientific studies and, in particular, for potentially
hazardous asteroids requires the space community to perform multiple-asteroid missions …

Asteroid exploration has been attracting more attention in recent years. Nevertheless, we
have just visited tens of asteroids, whereas we have discovered more than 1 million bodies …