An LLM-driven agent with built-in seed-noise audits develops control policies for two aerospace problems that outperform undirected search and pass verification checks.
Convex Programming Approach to Powered Descent Guidance for Mars Landing,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A MISOCP-SCP two-stage framework enables solar sail station-keeping in eLLOs for at least one year without propellant by leveraging predictable eccentricity vector behavior.
citing papers explorer
-
Agentic AutoResearch forSpace Autonomy: An Auditable, LLM-Driven Research Agent for Aerospace Control Problems
An LLM-driven agent with built-in seed-noise audits develops control policies for two aerospace problems that outperform undirected search and pass verification checks.