This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …

As small celestial body exploration advances, higher requirements with regard to system
safety and landing precision are proposed for future landing and sample return missions …

Planetary rovers, such as those currently on Mars, face difficult path planning problems, both
before landing during the mission planning stages as well as once on the ground. In this …

Robots are widely deployed in space environments because of their versatility and
robustness. However, adverse gravity conditions and challenging terrain geometry expose …

This paper presents a methodology for the fast, parallelized simulation of the bouncing
deployment of lander/rover probe to an asteroid or comet. The target asteroid or comet is …

This work explores on-board planning for the single spacecraft, multiple ground station Earth-
observing satellite scheduling problem through artificial neural network function …

The irregular shapes and gravitational fields of asteroids challenge the design of collision-
free asteroid surface hopping trajectories. A novel collision-free long-distance transfer …

This article presents a new and fast indirect method for solving fuel-optimal descent
trajectories in the gravitational field of an irregularly-shaped asteroid. The costates …

This article investigates the ballistic landing motion and final distribution of the landers in
different sizes or shapes near the small celestial body. Three typical shapes, including cubic …

The problem investigated in this paper is how to rapidly optimize a landing trajectory on an
arbitrarily shaped asteroid, subject to practical constraints and a gravitational model suitable …