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

Spaceflight is facing a sustainability problem in Earth orbit, where about 90% of all man-
made trackable objects are without functional use. Existing research activities on active …

Abstract Space debris is growing dramatically with the rapid pace of human exploration of
space, which seriously threatens the safety of artificial spacecraft in orbit. Therefore, the …

The shape of a spacecraft is transitioning from monolithic, manual, and static to modular,
autonomous, and dynamic. Modular Reconfigurable Spacecrafts (MRSs) offer better …

Abstract Space debris have become exceedingly dangerous over the years as the number
of objects in orbit continues to increase. Active debris removal (ADR) missions have gained …

Solar sails, characterized by passive propulsion, have attracted an increasing attention of
researchers, which has important value in the field of deep space exploration. SIASAIL-I is …

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 …

Nature benefits from a progressive evolution over millions of years, always adapting and
finding individual solutions for common problems. Hence, a pool of diverse and efficient …

The harpoon is a space debris capture mechanism with strong adaptability to targets. In this
paper, experiments and finite element models are used to study the harpoon impact on …

The space community is moving forward with the development of in-orbit servicing and
removal technologies to enable the circular economy in space and improve future space …