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.
All content for Roid Rage is the property of AstroForge and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
In this episode, Matt sits down with Nathan (Flight Software) and Ethan (Avionics) to walk through the architecture, tradeoffs, and bring-up of the DeepSpace-2 flight computer. From why we split responsibilities across two processors to how we’re automating interface validation and handling memory redundancy in deep space, this week's episode is a deep dive into the logic behind the bus.
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.
