Developing Code Agents for Robot Programming: Technical and Managerial Perspectives

Paper in proceeding, 2026

Collaborative robot (cobot) applications enhance flexibility and efficiency in the manufacturing industry. Even though they are easier to program, their re-programming and transferability across applications remain challenging in fast-changing settings. Artificial Intelligence (AI) technologies reduce the entry barrier to utilising cobots by providing low-code or no-code solutions. This study identifies the requirements for AI-driven no-code solutions for cobot implementation, focusing on technical and managerial perspectives. Through a case study approach informed by the automotive innovation ecosystem, the authors have identified requirements to leverage AI technologies for generating low-code and no-code solutions. These solutions aim to reduce the entry barriers for cobots in manufacturing, enabling agile and adaptive production systems that respond swiftly to market demands. The study highlights the importance of addressing technical and managerial challenges to ensure the successful implementation and value co-creation of cobot applications.