Our group is currently solving problems in the following areas (click on the link for more information):
Current Projects
xRADAR – xGEO Robust and Adaptive space Domain AwaReness (2023-2025)
This joint research with Virginia Tech supports the United States Space Force as part of the Universities Space Research Association (USRA) program. The work at UT under this grant focuses on Positioning, Navigation, and Timing (PNT) of spacecraft in Cislunar space.
This joint research with Virginia Tech supports the United States Space Force as part of the Universities Space Research Association (USRA) program. The work at UT under this grant focuses on Positioning, Navigation, and Timing (PNT) of spacecraft in Cislunar space.
Spacecraft for Optimal-Based Position Estimation-1 (2023-2027)
This joint collaboration with Dr. Brandon Jones develops a small-sat for a LEO test of a novel positioning and timing solution for lunar orbiting satellites. This work is supported by the National Aeronautics and Space Foundation and was also awarded a launch.
This joint collaboration with Dr. Brandon Jones develops a small-sat for a LEO test of a novel positioning and timing solution for lunar orbiting satellites. This work is supported by the National Aeronautics and Space Foundation and was also awarded a launch.
HIVE – Real-Time Linear Covariance Analysis Evaluation for Trajectory Deconfliction (2024-2025)
This research is supported by Sandia National Lab to develop fast linear covariance techniques to include guidance and navigation uncertainties into constrained trajectory planning of aerial vehicles.
This research is supported by Sandia National Lab to develop fast linear covariance techniques to include guidance and navigation uncertainties into constrained trajectory planning of aerial vehicles.
Representations, Theory, and Algorithms for Autonomous Space Domain Awareness in the Cislunar Regime (2023-2026)
This joint research collaboration with Dr. Ufuk Topcu, Texas A&M, University of New Mexico, University of Colorado Boulder, and University of Washington proposes to develop a theoretical and computational foundation to support space situational awareness and autonomous operations in the cislunar regime. The resulting algorithms will support onboard, autonomous navigation, reachability, and control.
This joint research collaboration with Dr. Ufuk Topcu, Texas A&M, University of New Mexico, University of Colorado Boulder, and University of Washington proposes to develop a theoretical and computational foundation to support space situational awareness and autonomous operations in the cislunar regime. The resulting algorithms will support onboard, autonomous navigation, reachability, and control.
Deep Learning Framework for Rapid Deployment of Autonomous Hypersonic Strike Weapons (2022-2025)
This joint research collaboration with Dr. Karen Willcox, University of Arizona and Raytheon proposes to develop autonomous guidance and navigation systems for hypersonic systems.
This joint research collaboration with Dr. Karen Willcox, University of Arizona and Raytheon proposes to develop autonomous guidance and navigation systems for hypersonic systems.
Autonomous Rendezvous and Docking with the Aid of Optical Maneuver Detection (2022-2026)
This research collaboration with Ms. Rachel Mamich investigates navigation technology for spacecraft rendezvous with an uncooperative and maneuvering target. (NASA Space Technology Graduate Research Opportunity).
This research collaboration with Ms. Rachel Mamich investigates navigation technology for spacecraft rendezvous with an uncooperative and maneuvering target. (NASA Space Technology Graduate Research Opportunity).
Predictive Digital Twins at Scale for Space Systems (2021-2024)
This joint research collaboration with Dr. Karen Willcox supports the Air Force Office of Scientific Research to develop the mathematical and computational framework needed to create predictive digital twins for space systems. This research directly supports our Nonlinear Estimation and our Autonomous Vehicles core research areas.
This joint research collaboration with Dr. Karen Willcox supports the Air Force Office of Scientific Research to develop the mathematical and computational framework needed to create predictive digital twins for space systems. This research directly supports our Nonlinear Estimation and our Autonomous Vehicles core research areas.
Autonomous Deep-Space Navigation (2020-2025)
This research supports the NASA Johnson Space Center to push the state of the art in autonomous deep-space navigation. The main research goals are crater-relative navigation and everywhere rendezvous. This research directly supports our Autonomous Vehicles, our Spacecraft Rendezvous, and our Vision-Based Navigation core research areas.
This research supports the NASA Johnson Space Center to push the state of the art in autonomous deep-space navigation. The main research goals are crater-relative navigation and everywhere rendezvous. This research directly supports our Autonomous Vehicles, our Spacecraft Rendezvous, and our Vision-Based Navigation core research areas.
