PLUTO: AI coding agent turns natural language into spacecraft trajectory constraints
drmapavone · x · 2026-10-10
A research team introduces PLUTO (Plain Language Understanding for Trajectory Optimization), exploring how agentic AI can make sophisticated aerospace engineering tools more accessible.
- Key idea: an AI coding agent handles problem formulation—translating natural-language requirements into executable constraints, setting up the optimization, and helping visualize and verify the resulting trajectory—while rigorous numerical methods (sequential convex programming as the backbone) handle the actual solving.
- Led by Eleanor Brosius, with Yuji Takubo, Daniele Gammelli and others. Paper is out; code coming soon.
- Described as a first step toward accelerating aerospace mission design and operations via agentic AI workflows.
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