24 citations · 44 across the 15 of their papers we have counts for
11 papers · 1 filter
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…
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)…
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…
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…
Run Time Assurance for Autonomous Spacecraft Inspection
Kyle Dunlap, David van Wijk, Kerianne L. Hobbs
As autonomous systems become more prevalent in the real world, it is critical to ensure they operate safely. One approach is the use of Run Time Assurance (RTA), which is a real-ti…
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation
Umberto Ravaioli, Kyle Dunlap, Kerianne Hobbs
With the rise of increasingly complex autonomous systems powered by black box AI models, there is a growing need for Run Time Assurance (RTA) systems that provide online safety fil…
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System
Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse +4
This research considers the problem of identifying safety constraints and developing Run Time Assurance (RTA) for Deep Reinforcement Learning (RL) Tactical Autopilots that use neur…
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking
Kyle Dunlap, Michael Hibbard, Mark Mote +1
Run Time Assurance (RTA) systems are online safety verification techniques that filter the output of a primary controller to assure safety. RTA approaches are used in safety-critic…