12 citations · 13 across the 14 of their papers we have counts for
15 papers
Infant Fingerprints: Quality Assessment & Recognition
João L. H. Dall Agnol, Dalcimar Casanova, Rodrigo Minetto +4
Infant fingerprint recognition is hindered by a combination of physiological characteristics, such as small ridge width and spacing, and acquisition challenges that include involun…
Uncertainty Estimators for Robust Backup Control Barrier Functions
David E. J. van Wijk, Ersin Das, Anil Alan +5
Designing safe controllers is crucial and notoriously challenging for input-constrained safety-critical control systems. Backup control barrier functions offer an approach for the…
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
Nathaniel Hamilton, Kyle Dunlap, Kerianne L Hobbs
Recent research using Reinforcement Learning (RL) to learn autonomous control for spacecraft operations has shown great success. However, a recent study showed their performance co…
The Safe Trusted Autonomy for Responsible Space Program
Kerianne L. Hobbs, Sean Phillips, Michelle Simon +11
The Safe Trusted Autonomy for Responsible Space (STARS) program aims to advance autonomy technologies for space by leveraging machine learning technologies while mitigating barrier…
Deep Reinforcement Learning for Scalable Multiagent Spacecraft Inspection
Kyle Dunlap, Nathaniel Hamilton, Kerianne L. Hobbs
As the number of spacecraft in orbit continues to increase, it is becoming more challenging for human operators to manage each mission. As a result, autonomous control methods are…
Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics
David E. J. van Wijk, Samuel Coogan, Tamas G. Molnar +2
Obtaining a controlled invariant set is crucial for safety-critical control with control barrier functions (CBFs) but is non-trivial for complex nonlinear systems and constraints.…
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
Kyle Dunlap, Kochise Bennett, David van Wijk +2
The trial and error approach of reinforcement learning (RL) results in high performance across many complex tasks, but it can also lead to unsafe behavior. Run time assurance (RTA)…
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs
For many space applications, traditional control methods are often used during operation. However, as the number of space assets continues to grow, autonomous operation can enable…
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
Kyle Dunlap, Nathaniel Hamilton, Francisco Viramontes +3
As the number of spacecraft on orbit continues to grow, it is challenging for human operators to constantly monitor and plan for all missions. Autonomous control methods such as re…
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay +3
On-orbit spacecraft inspection is an important capability for enabling servicing and manufacturing missions and extending the life of spacecraft. However, as space operations becom…
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions
Tamas G. Molnar, Suresh K. Kannan, James Cunningham +3
Safety-critical failures often have fatal consequences in aerospace control. Control systems on aircraft, therefore, must ensure the strict satisfaction of safety constraints, pref…
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates
Arturo de la Barcena, Collin Rhodes, John McCarroll +2
As the space domain becomes increasingly congested, autonomy is proposed as one approach to enable small numbers of human ground operators to manage large constellations of satelli…
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering
Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton +2
A fundamental capability for On-orbit Servicing, Assembly, and Manufacturing (OSAM) is inspection of the vehicle to be serviced, or the structure being assembled. This research ass…
Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control
Kerianne L. Hobbs, Bernard Li
Designing a safe, trusted, and ethical AI may be practically impossible; however, designing AI with safe, trusted, and ethical use in mind is possible and necessary in safety and m…
Searching for Optimal Runtime Assurance via Reachability and Reinforcement Learning
Kristina Miller, Christopher K. Zeitler, William Shen +4
A runtime assurance system (RTA) for a given plant enables the exercise of an untrusted or experimental controller while assuring safety with a backup (or safety) controller. The r…