On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
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On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
How does a spacecraft know where it’s pointed in deep space with no GPS, no magnetic field, and no visual landmarks? In this episode, we break down how DeepSpace‑2 uses commercial star trackers to determine its attitude and stay mission-capable. From orbital camera calibration and angular rate limits to frame-matching and flight software integration, Jeff (Perception Engineer) and Armand (Head of GNC and Flight Software) walk us through how we keep a spacecraft stable, power-positive, and on ...
Roid Rage
On this episode of Roid Rage, Principal Flight Science Engineer Loic joins the pod to break down how we use Monte Carlo simulations to navigate deep space - starting with how we avoid hitting the Moon. Loic walks us through how probabilistic modeling, error bounding, and trajectory optimization keep DeepSpace‑2 on target. This episode covers everything from solar pressure to thrust vector error, and why simulating failure is core to mission design.
