Inspiration
As a kid, I was always inspired by the precise calculations involved in rocket launches, which included factors such as fuel costs, weight, orbital trajectories, and more. Seeing the work of so many scientists broadcast live on TV is a spectacle to watch
What it does
Uses data from real flights and compares the AI's efficiency with that of the hardware. There are a variety of different flight scenarios to choose from, and you can even create your own custom one
How we built it
We combined our learnt skills in Python with the help of Claude in our code construction, and the help of OpenClaw as our AI agent to determine flight trajectories based on prompt engineering
Challenges we ran into
The most significant challenge we faced was setting up OpenClaw. Other than that, determining the correct prompts for OpenClaw was also a hard task to do as well
Accomplishments that we're proud of
We were able to create a live 3D demonstration of rocket movement, and were able to readjust the rocket's misalignment with high accuracy
What we learned
Through this experience, we learned a lot about utilizing Python to develop apps and websites. We also learned how powerful AI agents are, and how assistive they can be in everyday, mundane tasks.
What's next for AI Auto-Correcting Rocket
Perhaps in the future, we could partner with UCSC's Rocket Team to test out our program on live rocketry
Built With
- claude
- openclaw
- python
Log in or sign up for Devpost to join the conversation.