Document Type
Article
Publication Date
4-2-2026
Abstract
The discovery and tracking of near-Earth objects (NEOs), such as asteroids and comets, form the foundation of any effective planetary defense mitigation strategy—that is, the process of reducing or eliminating the threat these objects pose to humanity. Establishing sufficient warning time prior to a potential Earth impact is a critical outcome of this capability, as it enables informed decision-making and the selection of viable mitigation options. This study investigates how to optimally pre-position a fleet of NEO discovery and tracking (D&T) spacecraft within the Sun-Earth system. Candidate architectures—one or more pre-positioned spacecraft—are designed using Multi-Objective Monte Carlo Tree Search (MO-MCTS). Architecture performance is evaluated using a target deck of one thousand synthetic asteroids. The resulting designs exhibit trade-offs among warning time, cost, and remote-sensing coverage. For single-spacecraft architectures, the highest-performing designs employ distant retrograde orbits (DROs) as well as L2 and L3 vertical orbits. Among multi-spacecraft architectures, the most frequently selected orbit families include L3 halo orbits, L4 and L5 short- and long-period orbits, and those orbits identified as high-performing in the single-spacecraft case.
Source Publication
The Journal of the Astronautical Sciences (ISSN 2195-0571)
Recommended Citation
Wilmer, A. P., Klonowski, M. J., Holzinger, M. J., & Bettinger, R. A. (2026). Designing space-based architectures to discover and track hazardous asteroids using mo-mcts. The Journal of the Astronautical Sciences, 73(2), 37. https://doi.org/10.1007/s40295-025-00569-5
Comments
© 2026 The Authors.
This article is published by Springer, licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Funding note: Open Access funding provided by Air Force Research Laboratory (AFRL) Technical Libraries Consortia.
Sourced from the published version of record cited below.
Co-author Adam Wilmer was co-affiliated with the University of Colorado Boulder at the time of this article.