Letting an LLM write robot programs

This project demonstrates using large language models to generate robot control programs from natural language descriptions. Rather than writing robot code manually, you describe what you want the robot to do in plain English, and the LLM generates the corresponding program. The implementation showcases how neural networks can connects human intent and machine instructions, making robot programming more accessible to people without formal coding experience. The tool explores both the potential and practical limitations of this approach, examining how well LLMs understand spatial reasoning, timing, and safety constraints in robotic systems.