Advancing Robotic Agility and Efficiency: Architectural Innovations in the AGILEHAND Project

This paper delves into the AGILEHAND project, an initiative funded by the European Union's Horizon Europe program, that aims to advance robotic capabilities for manufacturing soft and deformable objects such as food, clothing, and plastic items exploring the structured architecture of digital solutions, highlighting its necessity for successful project outcomes. Central to this project is the development of innovative technologies focused on grading, handling, and packaging these items, thus improving the efficiency and adaptability of European manufacturing and logistics systems. The project core objective is to construct Artificial Intelligence (AI)-based solutions for agile production line reconfiguration, emphasizing monitoring, adaptive control, and synchronization of production and logistics flows testing them on four industrial pilots, each targeting different product characteristics. A significant aspect of AGILEHAND is the establishment of a robust solutions architecture, which is pivotal in integrating diverse components like robotics, AI, sensor technology, and material handling systems, ensuring effective system integration and scalability while addressing the needs of various stakeholders, ensuring user-friendliness and practicality. Thus, it is discussed in detail, emphasizing its modularity and integration across different platforms and environments, including cloud services and native applications. It is strategically designed to balance local processing with cloud scalability, focusing on user experience, data integration, and system security.