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RocketSmith demonstrates the practical application of agentic systems in end-to-end rocket development, automating design validation and parametric generation through iterative subagent workflows. The system successfully leveraged additive manufacturing to produce four stable rockets, with two achieving recoverable flight conditions and an 84% accuracy in apogee prediction against simulations. This work highlights a tangible shift toward intelligent automation in aerospace engineering, bridging the gap between zero-shot generation and human-in-the-loop optimization for physical hardware.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing

arXiv2 min read

arXiv:2606.00097v2 Announce Type: replace Abstract: This work presents RocketSmith, an agentic system capable of the design, manufacturing, and optimization processes in high powered rocket development. The system enables the intelligent automation of software tools as to not only validate factors such as flight stability but also generate the parametric design components for the rocket assembly. A collection of subagents and skills enable optimization workflows of flight parameters via iteration in both zero-shot and human-in-the-loop workflows. With this system, four distinct high power rockets with various motor and assembly configurations were developed utilizing the unique design capabilities of additive manufacturing. These assembly components were fabricated using various FDM printers, manually evaluated for flight readiness, and flight tested at a launch event. From these tests, all rockets achieved a stable launched and two of the four rockets were successfully recovered in reflyable condition. Within the collected flight data, an 84% accuracy was achieved when comparing measured apogee to that calculated in flight simulations.

Abstract:This work presents RocketSmith, an agentic system capable of the design, manufacturing, and optimization processes in high powered rocket development. The system enables the intelligent automation of software tools as to not only validate factors such as flight stability but also generate the parametric design components for the rocket assembly. A collection of subagents and skills enable optimization workflows of flight parameters via iteration in both zero-shot and human-in-the-loop workflows. With this system, four distinct high power rockets with various motor and assembly configurations were developed utilizing the unique design capabilities of additive manufacturing. These assembly components were fabricated using various FDM printers, manually evaluated for flight readiness, and flight tested at a launch event. From these tests, all rockets achieved a stable launched and two of the four rockets were successfully recovered in reflyable condition. Within the collected flight data, an 84% accuracy was achieved when comparing measured apogee to that calculated in flight simulations.

Robotics (cs.RO)

arXiv:2606.00097 [cs.RO]

(or arXiv:2606.00097v2 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2606.00097 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 247 words

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