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

Future exploration and human missions on large planetary bodies (eg, moon, Mars) will
require advanced guidance navigation and control algorithms for the powered descent …

Unlike the spherical gravitational field of planets and other large solar system bodies, the
gravitational field of asteroids is irregular and weak. It is challenging for a planetary rover to …

Abstract Controlling Heating, Ventilation and Air Conditioning (HVAC) systems is critical to
improving energy efficiency of demand-side. In this paper, a model-free optimal control …

This paper comprehensively investigates the problem of impulsive orbital pursuit-evasion
games (OPEGs) by using an artificial intelligence-based approach. First, the mathematical …

This paper focuses on the use of meta-reinforcement learning for the autonomous guidance
of a spacecraft during the terminal phase of an impact mission toward a binary asteroid …

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 …

Rock detection on the surface of celestial bodies is critical in the deep space environment for
obstacle avoidance and path planning of space probes. However, in the remote and …

Numerous missions in both civil and military fields involve the pursuit-evasion problem of
vehicles. With vertical take-off and landing capability, the intelligent air–ground vehicle …

Landing on small bodies like asteroids encounters great rebound uncertainties, which
threatens the surface exploration and operation. This paper explores a potential solution for …