Research Categories

Our research can be categorized in a number of areas: spacecraft autonomous guidance, navigation and control small body missions asteroid science - in particular geophysics and dynamical evolution in-situ resource utilization precise orbit determination orbital debris dynamical evolution satellite servicing, in-space assembly entry, descent, and landing guidance and control Several of our current major projects are (click links for details): OSIRIS-REx Radio Science Dismantling Rubble Pile Asteroids with AoES (Area-of-Effect Soft-bots) [Phase II NIAC Grant] Robust Entry and Landing Guidance Under Dynamic Uncertainty [NASA ECF Grant]

Current Student Research

Kristen Ahner

As complex, nonlinear system dynamics cause errors to grow over time and drive a spacecraft to deviate from its orbit and planned maneuvers, corrective guidance algorithms must adaptively re-optimize the spacecraft thrust maneuvers to reach target states and achieve mission goals. This research advances state-of-the-art guidance by combining stochastic control approaches to uncertainty with non-Gaussian chance constraints while incorporating thrust maneuver errors.Ìý

Mattia Pugliatti

Navigating small irregular bodies such as asteroids and comets is challenging for different reasons: rapidly changing illumination conditions, various and irregular morphological features, and a highly non-linear environment riddled with uncertainties. This research is focused on different aspects involved when navigating a spacecraft, both autonomously and with aid from the ground. The former is investigated using data-driven image processing algorithms and machine learning methods, which enable intelligence capabilities for onboard applications.

Jens Rataczak

The aerodynamic heating environment of an aerocapture vehicle is intrinsically coupled with its trajectory and is a key metric in vehicle design. Developing advanced guidance algorithms that are aware of the aerothermodynamic environment and its uncertainty could produce more robust and optimal system designs. This work aims to leverage advanced optimization and surrogate modeling techniques to directly integrate key aerothermodynamic phenomena into an aerocapture guidance algorithm.

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Kian Shakerin

My research is focused on Visual Simultaneous Localization and Mapping with dynamic landmarks (Dynamic VSLAM) for autonomous navigation using natural and artificial satellites.Ìý

Grace Calkins

Uncertainty quantification (UQ) is pivotal for guidance, navigation, and control (GNC) in risky environments, such as aerocapture and hazard avoidance. Many state of the art UQ methods are computationally expensive or compromise on accuracy. My research aims to develop computationally efficient, nonlinear, non-Gaussian uncertainty propagation techniques that can be applied to these complex flight scenarios to improve GNC performance. This approach enables accurate and efficient stochastic guidance algorithms and nonlinear navigation schemes.

Dezell Turner

Augmented Reality for Intuitive Trajectory Design

Trajectory design in multibody systems, such as cislunar space, is an extremely complex task due to their highly nonlinear dynamics. As a result, many state-of-the-art multibody trajectory design tools are prohibitively difficult for non-expert users. To make trajectory design more intuitive, we are designing an augmented reality tool that allows non-expert users to quickly design trajectories and perform trade studies.

Zach Donovan

My research goal is to further enable the exploration of small planetary bodies, such as asteroids and comets, to expand our understanding of the cosmos. Specifically, I am interested in developing safe and robust methods for landing on these small bodies. This includes the incorporation of uncertainty, hazard awareness, and dynamic constraints into terminal landing phase guidance.

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Chloe Long

BYORP theory and asteroid target selection

Koundinya (Ken) Kuppa

This research utilizes infrared images (IR) to robustly estimate the shape and pole axis of a small body which are vital for proximity operations. The first part of the research developed an algorithm to estimate the pole axis from a set of on-board IR images. In the second part of the research, a robust image processing pipeline was developed to extract visual extents (silhouettes) of the body from IR images. A Shape from Silhouette (SfS) algorithm, based on previous work in ORCCA, was developed to obtain a shape model using these silhouettes. The third contribution, Stereo Thermoclinometry (STC), aims to refine an initial shape model using IR images to more accurately capture the small body shape. STC works in two sequential steps: (1) use differences in predicted and measured temperatures to estimate the surface orientations, (2) obtain the corresponding shape model vertices that best fit the estimated orientations. These two steps are iterated until convergence.

Rachel Cueva

This research focuses on the secular dynamical evolution of binary asteroid systems. Specifically, we look at how phenomena like solar radiation pressure (i.e., the BYORP effect) and tidal interactions influence the coupled attitude and orbital evolution of these systems, and how shape variations and attitude perturbations can affect the resulting behavior.

Rylie Bull

It is impossible to measure the mass of small asteroids from a high speed flyby of a spacecraft using traditional navigation techniques, because the spacecraft's trajectory is very weakly perturbed by the asteroid's gravity. This research examines novel methods to overcome these limitations, by tracking artificial or naturally occurring test-masses in short duration encounters. By tracking test-masses that are much closer to the asteroid, it is possible to estimate the asteroid's mass even for fast flybys of small asteroids.