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Found 9 papers, 0 papers with code
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Our results show that a limited number of discrete choices leads to optimal performance for the inspection task, while continuous control leads to optimal performance for the docking task.
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
As the number of spacecraft on orbit continues to grow, it is challenging for human operators to constantly monitor and plan for all missions.
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
On-orbit spacecraft inspection is an important capability for enabling servicing and manufacturing missions and extending the life of spacecraft.
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering
Monte Carlo simulation results as well as plots of example cases are shown and evaluated for a three degree of freedom spacecraft with reaction wheel attitude control.
Run Time Assurance for Autonomous Spacecraft Inspection
A comparison is made between centralized and decentralized control, where simulations of the inspection problem then demonstrate that RTA can assure safety of all constraints.
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation
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 filtering to untrusted primary controller output.
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System
This research considers the problem of identifying safety constraints and developing Run Time Assurance (RTA) for Deep Reinforcement Learning (RL) Tactical Autopilots that use neural network control systems (NNCS).
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
Reinforcement Learning (RL) has become an increasingly important research area as the success of machine learning algorithms and methods grows.
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking
Run Time Assurance (RTA) systems are online safety verification techniques that filter the output of a primary controller to assure safety.
