This paper aims to present a comprehensive survey on information integration (II) in space
informatics. With an ever-increasing scale and dynamics of complex space systems, II has …

Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …

This paper investigates the use of deep learning techniques for real-time optimal spacecraft
guidance during terminal rendezvous maneuvers, in presence of both operational …

Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …

This research studies the application of reinforcement learning in spacecraft angles-only
rendezvous guidance in the presence of multiple constraints and uncertainties. To apply a …

This paper studies a novel guidance framework of the vehicle against a high-speed and
maneuvering target based on deep reinforcement learning (DRL) considering the energy …

The avoidance of multiple space debris collisions by autonomous spacecraft has garnered
significant interests worldwide. Applying deep reinforcement learning (DRL) to autonomous …

This paper deals with the problem of mapping unknown small celestial bodies while
autonomously navigating in their proximity with an optical camera. A Deep Reinforcement …

This paper investigates the problem of impact-time-control and proposes a learning-based
computational guidance algorithm to solve this problem. The proposed guidance algorithm …

In missile guidance, pursuit performance is seriously degraded due to the uncertainty and
randomness in target maneuverability, detection delay, and environmental noise. In many …