Kerianne L. Hobbs

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Constraint Satisfaction

Control Policies

Aerial Vehicles

Top Venues

J. Aerosp. Inf. Syst.

Publications

Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls. CoRR (2024)
Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton, Jabari Wilson, Kerianne L. Hobbs
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering. CoRR (2024)
Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay, Matt Shubert, Sean Phillips, Kerianne L. Hobbs
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles. CoRR (2024)
Arturo de la Barcena, Collin Rhodes, John McCarroll, Marzia Cescon, Kerianne L. Hobbs
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates. CoRR (2024)
Tamás G. Molnár, Suresh K. Kannan, James Cunningham, Kyle Dunlap, Kerianne L. Hobbs, Aaron D. Ames
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions. CoRR (2024)
Kyle Dunlap, Nathaniel Hamilton, Francisco Viramontes, Derrek Landauer, Evan Kain, Kerianne L. Hobbs
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies. CoRR (2024)
Kyle Dunlap, Mark Mote, Kaiden Delsing, Kerianne L. Hobbs
Run Time Assured Reinforcement Learning for Safe Satellite Docking. J. Aerosp. Inf. Syst. 20 (1) (2023)
Kerianne L. Hobbs, Bernard Li
Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control. CoRR (2023)
Jonathan C. Rowanhill, Ashlie B. Hocking, Aditya Zutshi, Kerianne L. Hobbs
Bridging the Gap: Applying Assurance Arguments to MIL-HDBK-516C Certification of a Neural Network Control System with ASIF Run Time Assurance Architecture. CoRR (2023)
David van Wijk, Kyle Dunlap, Manoranjan Majji, Kerianne L. Hobbs
Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination. CoRR (2023)
Kyle Dunlap, David van Wijk, Kerianne L. Hobbs
Run Time Assurance for Autonomous Spacecraft Inspection. CoRR (2023)
Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse, Kyle Dunlap, Jonathan C. Rowanhill, Ashlie B. Hocking, Aditya Zutshi
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System. CoRR (2022)
Nathaniel Hamilton, Kyle Dunlap, Taylor T. Johnson, Kerianne L. Hobbs
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. CoRR (2022)
Kerianne L. Hobbs, Joseph B. Lyons, Martin S. Feather, Benjamen P. Bycroft, Sean Phillips, Michelle Simon, Mark Harter, Kenneth Costello, Yuri Gawdiak, Stephen Paine
Space Trusted Autonomy Readiness Levels. CoRR (2022)