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Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System

  • Published:2022-01-03 Issue: Volume: Page:
  • ISSN:
  • Container-title:AIAA SCITECH 2022 Forum
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Author:

Zeng Chen1,Hecht Grant R.1,Kumar Prajit K.1,Shah Raj K.1,Botta Eleonora M.1,Chowdhury Souma1

Affiliation:

1. University at Buffalo

Publisher

American Institute of Aeronautics and Astronautics

Reference31 articles.

1. Space Tether Net System for Debris Capture and Removal

2. Dynamics analysis and GNC design of flexible systems for space debris active removal

3. 4Botta, E., Deployment and Capture Dynamics of Tether-nets for Active Space Debris Removal, Ph.D. thesis,McGill University Libraries, 2018.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning-Aided Control of Robotic Tether-Net with Maneuverable Nodes to Capture Large Space Debris;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Validation of Models for Net Deployment and Capture Simulation with Experimental Data;Journal of Spacecraft and Rockets;2024-01

3. Concurrent Design Optimization of Tether-Net System and Actions for Reliable Space-Debris Capture;Journal of Spacecraft and Rockets;2023-12-29

4. Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports Using Graph Learning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Survey of Tether System Technology for Space Debris Removal Missions;Journal of Spacecraft and Rockets;2023-09
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