During the past five decades, entry guidance methods have gone through major evolutions,
largely driven by the needs of different types of entry vehicles and greatly increased onboard …

This comprehensive literature survey reviews past and present planetary entry guidance
algorithms. The algorithms are categorized based on the vehicle L/D and the planetary …

Recent development of deep learning has shown that a deep neural network (DNN) is
capable of learning the underlying nonlinear relationship between the state and the optimal …

The process, methodology, and results of a two year effort are presented in this paper on
verification of an advanced entry guidance algorithm, called Fully Numerical Predictor …

Advanced entry guidance systems could potentially enable future vehicles to generate
feasible/optimal flight trajectories onboard for the latest mission requirements and track the …

Aerocapture is the maneuver by an interplanetary spacecraft to fly through the atmosphere
of a planet with the aim of attaining a specified orbit around the planet. By appropriately …

Recent development of deep learning has shown that deep neural network (DNN) is
capable of learning the underlying nonlinear relationship between the state and the optimal …

A numerical predictor–corrector method for trajectory planning and closed-loop guidance of
low-L= D vehicles during the skip entry phase of a lunar-return mission is presented. The …

The 2022 Planetary Science Decadal Survey released by the National Academies of
Science identified the exploration of the Ice Giants, particularly Uranus, as the primary next …

In order to advance entry guidance technology two different research areas have been
explored with the objective of increasing the reachable landing area and the landing …