Developing Code Agents for Robot Programming: Technical and Managerial PerspectivesShow others and affiliations
2026 (English)In: Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond: 44th IFIP WG 5.7 International Conference, APMS 2025, Kamakura, Japan, August 31-September 4, 2025, Proceedings, Part I / [ed] Hajime Mizuyama; Eiji Morinaga; Tomomi Nonaka; Toshiya Kaihara; Gregor von Cieminski; David Romero, Cham: Springer, 2026, p. 134-147Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Cham: Springer, 2026. p. 134-147
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 764
Keywords [en]
Artificial Intelligence, Code Agents, Collaborative Robots, Low-code, No-code, Codes (symbols), Distributed computer systems, Ecosystems, Industrial robots, Intelligent agents, Intelligent robots, Robot applications, Robot programming, Artificial intelligence technologies, Case study approach, Code agent, Entry barriers, Manufacturing industries, Re-programming, Robot implementation
National Category
Robotics and automation Production Engineering, Human Work Science and Ergonomics Computer Sciences
Research subject
Virtual Production Development (VPD)
Identifiers
URN: urn:nbn:se:his:diva-25859DOI: 10.1007/978-3-032-03515-8_10ISI: 001583355400010Scopus ID: 2-s2.0-105015550918ISBN: 978-3-032-03514-1 (print)ISBN: 978-3-032-03517-2 (print)ISBN: 978-3-032-03515-8 (electronic)OAI: oai:DiVA.org:his-25859DiVA, id: diva2:2001407
Conference
44th IFIP WG 5.7 International Conference, APMS 2025, Kamakura, Japan, August 31-September 4, 2025
Funder
Vinnova, 2024-03234
Note
© IFIP International Federation for Information Processing 2026
Correspondence Address: O. Salunkhe; Chalmers University of Technology, Gothenburg, Sweden; email: omkar.salunkhe@chalmers.se
This research was funded by the Swedish innovation agency, VINNOVA, under grant number 2024-03234. We extend our gratitude to VINNOVA and the collaborating companies for their invaluable assistance and support in this project.
2025-09-262025-09-262025-11-28Bibliographically approved