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RocketSmith automates the design-for-additive-manufacturing (DFAM) process for high-powered rockets using a large language model to coordinate software tools that validate design characteristics and generate parametric components. The system employs a combination of subagents and optimization workflows to iteratively refine flight parameters, both in zero-shot and human-in-the-loop scenarios. Flight tests of four distinct rocket designs demonstrated stable launches, with two rockets recoverable and achieving 80% of the predicted apogee, confirming the reliability of the agentic design process.
RocketSmith achieves a remarkable 80% accuracy in predicted rocket apogee, showcasing the power of agentic systems in aerospace design.
RocketSmith is an agentic system which intelligently automates the DFAM process for the development of high powered rockets suitable for launch. The system utilizes a large language model to orchestrate the execution of software tools to validate design characteristics such as flight stability and 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 launch and two of the four rockets were successfully recovered in reflyable condition. The altimeter data validated that the rockets achieved an altitude 80% of the expected apogee predicted by the agentic system, establishing consistency between simulation and experimentation.
CMU ML