Identification of an Approach for the Execution of Skill-Based Domain-Specific Languages in the Area of Human-Robot Collaboration

Domain-specific languages (DSLs) can simplify the programming of human-robot collaboration (HRC) systems for non-experts. However, executing skill-based DSLs for HRC programming requires integrating various production resources such as robots, humans, and sensors. Therefore, domain overlapping requirements must be considered when choosing an appropriate execution approach. This paper identifies and explains key requirements such as flexible interfaces, dynamic capability discovery, task dependency resolution, spatial awareness, continuous monitoring, and user interfaces. Through a comprehensive literature review and gap analysis, we identify trade-offs in execution methodologies. Based on this, we propose an orchestration-based strategy that offers centralized coordination, extendable interface integration, and monitoring capabilities to address current limitations in executing DSLs in HRC applications.