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New OrbitalGym simulator explores impact of planning vs. system design in satellite games

This paper introduces OrbitalGym, a JAX-based simulation environment designed to study adversarial encounters between satellites. The environment allows for large-scale parallel simulations on GPUs, enabling researchers to determine when planning algorithms or system design have a greater impact on the outcome of orbital games. The study compares various planning methods, including model predictive path integral control and Monte Carlo tree search, across different scenarios like pursuit-evasion and lady-bandit-guard, analyzing factors such as propellant ratio, sensor capability, and game duration. AI

IMPACT Provides a new simulation framework for studying AI planning in complex, adversarial environments.

RANK_REASON The item is a research paper detailing a new simulation environment and its application to a specific problem domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New OrbitalGym simulator explores impact of planning vs. system design in satellite games

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The item is a research paper detailing a new simulation environment and its application to a specific problem domain. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. arXiv cs.AI TIER_1 English(EN) · Duncan Eddy, Mahdi Al-Husseini, Mykel J. Kochenderfer ·

    Where Planning Changes the Outcome of Orbital Games

    arXiv:2610.37686v1 Announce Type: cross Abstract: This paper introduces OrbitalGym, a simulation environment for studying when planning algorithms or system design determine the outcome of adversarial orbital encounters. In an orbital game, two non-cooperative teams of satellites…