Deep Reinforcement Learning for Scalable Multiagent Spacecraft Inspection
Fuente:
arXiv
Saved in:
| Main Authors: | Dunlap, Kyle, Hamilton, Nathaniel, Hobbs, Kerianne L. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
by: Hamilton, Nathaniel, et al.
Published: (2025)
by: Hamilton, Nathaniel, et al.
Published: (2025)
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
by: Dunlap, Kyle, et al.
Published: (2024)
by: Dunlap, Kyle, et al.
Published: (2024)
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
by: Dunlap, Kyle, et al.
Published: (2024)
by: Dunlap, Kyle, et al.
Published: (2024)
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
by: Hamilton, Nathaniel, et al.
Published: (2024)
by: Hamilton, Nathaniel, et al.
Published: (2024)
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
by: Hamilton, Nathaniel, et al.
Published: (2022)
by: Hamilton, Nathaniel, et al.
Published: (2022)
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering
by: McQuinn, Cassie-Kay, et al.
Published: (2024)
by: McQuinn, Cassie-Kay, et al.
Published: (2024)
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
by: Dunlap, Kyle, et al.
Published: (2024)
by: Dunlap, Kyle, et al.
Published: (2024)
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates
by: de la Barcena, Arturo, et al.
Published: (2024)
by: de la Barcena, Arturo, et al.
Published: (2024)
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions
by: Molnar, Tamas G., et al.
Published: (2024)
by: Molnar, Tamas G., et al.
Published: (2024)
The Safe Trusted Autonomy for Responsible Space Program
by: Hobbs, Kerianne L., et al.
Published: (2025)
by: Hobbs, Kerianne L., et al.
Published: (2025)
Fuzzy-Based Control Method for Autonomous Spacecraft Inspection with Minimal Fuel Consumption
by: Choi, Daegyun, et al.
Published: (2025)
by: Choi, Daegyun, et al.
Published: (2025)
Global Task-aware Fault Detection, Identification For On-Orbit Multi-Spacecraft Collaborative Inspection
by: Gupta, Akshita, et al.
Published: (2025)
by: Gupta, Akshita, et al.
Published: (2025)
Disturbance-Robust Backup Control Barrier Functions: Safety Under Uncertain Dynamics
by: van Wijk, David E. J., et al.
Published: (2024)
by: van Wijk, David E. J., et al.
Published: (2024)
Profit Maximization for Electric Vehicle Charging Stations Using Multiagent Reinforcement Learning
by: Jiang, Kun-Yan, et al.
Published: (2026)
by: Jiang, Kun-Yan, et al.
Published: (2026)
Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
by: Wu, Yin, et al.
Published: (2026)
by: Wu, Yin, et al.
Published: (2026)
Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
by: Feng, Chen, et al.
Published: (2024)
by: Feng, Chen, et al.
Published: (2024)
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
by: Li, Jianan, et al.
Published: (2025)
by: Li, Jianan, et al.
Published: (2025)
Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning
by: Valianti, Panayiota, et al.
Published: (2025)
by: Valianti, Panayiota, et al.
Published: (2025)
Information-Driven Fault Detection and Identification for Multi-Agent Spacecraft Systems: Collaborative On-Orbit Inspection Mission
by: Gupta, Akshita, et al.
Published: (2025)
by: Gupta, Akshita, et al.
Published: (2025)
Meta-Reinforcement Learning for Robust and Non-greedy Control Barrier Functions in Spacecraft Proximity Operations
by: Wijayatunga, Minduli C., et al.
Published: (2026)
by: Wijayatunga, Minduli C., et al.
Published: (2026)
Stability Analysis of Deep Reinforcement Learning for Multi-Agent Inspection in a Terrestrial Testbed
by: Lei, Henry, et al.
Published: (2025)
by: Lei, Henry, et al.
Published: (2025)
Uncertainty Estimators for Robust Backup Control Barrier Functions
by: van Wijk, David E. J., et al.
Published: (2025)
by: van Wijk, David E. J., et al.
Published: (2025)
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
by: Zhang, Jichen, et al.
Published: (2023)
by: Zhang, Jichen, et al.
Published: (2023)
Autonomy at Levels for Spacecraft
by: Baker, Daniel, et al.
Published: (2025)
by: Baker, Daniel, et al.
Published: (2025)
Spacecraft Autonomy Levels
by: Baker, Daniel, et al.
Published: (2025)
by: Baker, Daniel, et al.
Published: (2025)
Levels of Spacecraft Autonomy
by: Baker, Daniel, et al.
Published: (2025)
by: Baker, Daniel, et al.
Published: (2025)
k-Dimensional Agreement in Multiagent Systems
by: Bianchin, Gianluca, et al.
Published: (2022)
by: Bianchin, Gianluca, et al.
Published: (2022)
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations
by: Wang, Kun, et al.
Published: (2025)
by: Wang, Kun, et al.
Published: (2025)
Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks
by: Nino, Cristian F., et al.
Published: (2025)
by: Nino, Cristian F., et al.
Published: (2025)
Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models
by: Beeson, Ryne, et al.
Published: (2024)
by: Beeson, Ryne, et al.
Published: (2024)
Long-Duration Station-Keeping Strategy for Cislunar Spacecraft Formations
by: Foss, Ethan, et al.
Published: (2025)
by: Foss, Ethan, et al.
Published: (2025)
Collision Avoidance Verification of Multiagent Systems with Learned Policies
by: Dong, Zihao, et al.
Published: (2024)
by: Dong, Zihao, et al.
Published: (2024)
Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration
by: Bhardwaj, Arna, et al.
Published: (2024)
by: Bhardwaj, Arna, et al.
Published: (2024)
A Switched Systems Approach to Image-Based Feature Tracking for Autonomous Satellite Inspection
by: Ogri, Tochukwu Elijah, et al.
Published: (2025)
by: Ogri, Tochukwu Elijah, et al.
Published: (2025)
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
by: Olsson, Johan, et al.
Published: (2024)
by: Olsson, Johan, et al.
Published: (2024)
Data-Enabled Predictive Control for Flexible Spacecraft
by: Wang, Huanqing, et al.
Published: (2025)
by: Wang, Huanqing, et al.
Published: (2025)
Safe and Optimal N-Spacecraft Swarm Reconfiguration in Non-Keplerian Cislunar Orbits
by: Takubo, Yuji, et al.
Published: (2025)
by: Takubo, Yuji, et al.
Published: (2025)
Data-Based System Representation and Synchronization for Multiagent Systems
by: Lopez, Victor G., et al.
Published: (2024)
by: Lopez, Victor G., et al.
Published: (2024)
Cooperative Guidance for Aerial Defense in Multiagent Systems
by: Bajpai, Shivam, et al.
Published: (2025)
by: Bajpai, Shivam, et al.
Published: (2025)
Self-organizing Multiagent Target Enclosing under Limited Information and Safety Guarantees
by: Ranjan, Praveen Kumar, et al.
Published: (2024)
by: Ranjan, Praveen Kumar, et al.
Published: (2024)
Similar Items
-
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
by: Hamilton, Nathaniel, et al.
Published: (2025) -
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
by: Dunlap, Kyle, et al.
Published: (2024) -
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles
by: Dunlap, Kyle, et al.
Published: (2024) -
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
by: Hamilton, Nathaniel, et al.
Published: (2024) -
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
by: Hamilton, Nathaniel, et al.
Published: (2022)