The client faces difficulties in translating high-level industrial robot control scripts into executable code optimized for microcontroller environments. Existing solutions lack efficiency, require significant memory resources, and hinder rapid deployment and user-friendly error reporting, which hampers training and operational flexibility in industrial automation education and practice.
A mid-sized manufacturing firm specializing in industrial automation seeking to streamline robot programming workflows and enhance training capabilities.
Implementing this language interpreter will significantly streamline the process of programming industrial robots, reducing development time and resource usage. It will enable easier training for future engineers through intuitive error reporting and resource-efficient code execution, fostering better industry-academic collaboration. The project aims to improve system performance, facilitate continuous updates, and expand accessibility, ultimately accelerating technological adoption in educational and industrial settings.