FLL Submerged Season Sneek Peak
The New FLL Submerged Season Is Just Around the Corner! 🌊
As the FIRST LEGO League (FLL) Submerged season approaches, We are already thinking about how we can make the most of AI to tackle the challenges ahead. This season's theme revolves around underwater exploration, and I'm excited to see how we can take our robotics game to the next level using AI-driven tools.
My focus this time will be on improving two key areas:
- Enhancing the accuracy of Python code output for LEGO robots.
- Better understanding of users' commands to create more efficient coding solutions.
I'm thinking of using GPT to build a custom chatbot that can help with these tasks. Imagine having a chatbot that doesn't just understand generic Python code, but knows the ins and outs of LEGO robot programming! This would mean more accurate code suggestions tailored specifically to FLL robots and tasks, which is a game-changer for programming efficiency and strategy execution.
To make this happen, I've been working on some prompt engineering to improve how the AI interprets commands. I've also created a detailed LEGO Python API spec and description documents based on the official Spike Prime website. This will help the chatbot understand the unique functions and syntax needed to control the robot during FLL missions.
By customizing the AI's knowledge with these API docs, we can train it to generate highly accurate code snippets for movement, sensor interaction, and strategy planning. This could save a lot of time during robot development and testing, allowing us to focus on fine-tuning strategies rather than troubleshooting code.
The idea of combining AI and robotics for FLL is super exciting, and I can't wait to dive deeper into this project as the season progresses. Who knows, maybe AI will give us the edge we need to ace the Submerged season!