While human presence in cislunar space continues to expand, so too does the demand for
'lightweight'automated on-board processes. In nonlinear dynamical environments …

In this paper, the recently developed machine learning (ML) approach to improve orbit
prediction accuracy is systematically investigated using three ML algorithms, including …

While high-efficiency propulsion techniques are enabling new mission concepts in deep
space exploration, their limited thrust capabilities necessitate long thrusting arcs and make …

While human presence in cislunar space continues to expand, so too does the demand for
'lightweight'automated on-board processes. In nonlinear dynamical environments …

Many far-reaching objectives and aspirations in space exploration are predicated on
achieving a high degree of autonomous functionality. Traditional Earth-based mission …

Long time-duration low-thrust nonlinear optimal spacecraft trajectory global search is a
computationally and time expensive problem characterized by clustering patterns in locally …

Artificial intelligence is a rapidly developing field that promises to revolutionize spaceflight
with greater robotic autonomy and innovative decision making. However, it remains to be …

Low-thrust propulsion methods, and the order of magnitude reduction in required fuel, is an
enabling technology for deep-space exploration. Unfortunately, spacecraft with low-thrust …

Establishing a permanent foothold in cislunar space is considered by NASA as pivotal in
expanding human exploration. With the proposed Gateway and Artemis projects, NASA …