Retrieval-grounded robot program generation and simulation-based correction via Model Context Protocol
A language-model-based workflow that generates, validates, and iteratively corrects ABB RAPID robot programs from natural language task descriptions is presented, showing how RAG and MCP can connect grounded code generation with executable feedback from industrial robot simulation software, while reducing but not eliminating expert setup and final supervision.