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This study evaluates the feasibility of using swarms of wind-driven spherical rovers to collect dust data during Martian global dust storms. Researchers modeled the trajectories and dispersion of these "Dust Rovers" using wind data from Mars Year 34's global storm, testing different computational approaches including deterministic and stochastic models that account for turbulent gusts. They found that a 20-rover swarm could maintain communication connectivity with each rover requiring only 1.6-4.1 km transmission range over a Martian day, with two-rover separation ranging from under 1 meter to 25 meters per hour depending on gust correlation assumptions.
Why it matters
This work addresses a critical gap in understanding Martian dust storms by proposing an alternative to stationary landers, which are limited in spatial coverage and can contaminate local measurements. The swarm approach could enable high-resolution, distributed observations during global dust storms, providing crucial data to better constrain dust lifting and transport mechanisms that dominate Mars' climate system.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Abstract: Global Dust Storms (GDSs) dominate the Martian climate, yet the mechanisms of dust lifting, transport, and deposition remain poorly constrained because in situ observations are limited: landers are stationary, and their Radioisotope Thermoelectric Generators (RTGs) contaminate local measurements. Our solution is a swarm of lightweight, wind-propelled spherical rovers — Dust Rovers (DRs) — that follow natural wind patterns to collect high-spatial-resolution in situ dust data during storms. Here, we quantify the dispersion and communication connectivity of this robotic architecture. Using 625 wind states calculated using the Mars Climate Database (MCD) for the MY34 storm at the Curiosity site, we build a bivariate-normal model of the near-surface wind velocity and characterise its diurnal structure. Rover trajectories and swarm dispersion are propagated with three integrators: the Euler and fourth-order Runge-Kutta schemes for the deterministic dynamics, and a stochastic Ornstein-Uhlenbeck formulation that simulates turbulent gust forcing. Dispersion is controlled by the unmeasured gust correlation time: with a static rolling threshold enforced, the white-gust case (tau_g = Delta t = 1 s) provides a two-rover separation below 1 m over an hour (0.44 km over a sol), whereas correlation times of 10-60 s yield 6-25 m over an hour (1.4-3.3 km over a sol). We demonstrate that a 20-rover swarm needs only a 1.6-4.1 km per-rover range to remain connected over a sol, and stays connected across the plausible envelope — for gust amplitudes up to twice the nominal value with tau_g <= 60 s, and at the nominal amplitude up to tau_g ~ 150 s.