Showing 1–20 of 26 results
/ Date/ Name
Oct 7, 2021Run Time Assurance for Safety-Critical Systems: An Introduction to Safety Filtering Approaches for Complex Control SystemsSep 2, 2022A Universal Framework for Generalized Run Time Assurance with JAX Automatic DifferentiationOct 1, 2021Comparing Run Time Assurance Approaches for Safe Spacecraft DockingJan 10, 2025Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft ProblemsMar 4, 2024Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier FunctionsNov 15, 2023Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace ControlMay 20, 2024Investigating the Impact of Choice on Deep Reinforcement Learning for Space ControlsOct 13, 2022Space Trusted Autonomy Readiness LevelsFeb 22, 2024Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite SurrogatesMay 10, 2024Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control PoliciesJan 10, 2025The Safe Trusted Autonomy for Responsible Space ProgramSep 1, 2022Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control SystemFeb 22, 2024Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude ManeuveringMay 10, 2024Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial VehiclesOct 6, 2023Searching for Optimal Runtime Assurance via Reachability and Reinforcement LearningJun 17, 2024Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft InspectionJan 29, 2019Efficient n-to-n Collision Detection for Space Debris using 4D AABB Trees (Extended Report)Apr 18, 2017Foundations of Intelligent Additive ManufacturingJul 9, 2024Safe and Reliable Training of Learning-Based Aerospace ControllersMar 27, 2023Bridging the Gap: Applying Assurance Arguments to MIL-HDBK-516C Certification of a Neural Network Control System with ASIF Run Time Assurance Architecture