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

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2606.00097v1 Announce Type: new 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.

ソースarXiv Robotics著者: Peter Pak, Jesse Barkley, Rumi Loghmani, Derek Baich, Ananya Pamal, Amir Barati Farimani

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

[2606.00097] RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing [Submitted on 25 May 2026] Title:RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing View a PDF of the paper titled RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing, by Peter Pak and 5 other authors View PDF HTML (experimental) 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. Subjects: Robotics (cs.RO) Cite as: arXiv:2606.00097 [cs.RO] (or arXiv:2606.00097v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2606.00097 arXiv-issued DOI via DataCite Submission history From: Peter Pak [view email] [v1] Mon, 25 May 2026 14:37:39 UTC (25,980 KB) Full-text links: Access Paper: View a PDF of the paper titled RocketSmith: An Agentic System for High-Powered Rocket Design and Manufacturing, by Peter Pak and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.RO new | recent | 2026-06 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Loading... Data provided by: Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)