Sharework research outcomes have been presented during the EFTA 2021 (the 26th International Conference on Emerging Technologies and Factory Automation) conference workshop “Towards the factory of the future: advancements in planning and control of industrial robots“, celebrated on the past 7th of September.
The workshop, chaired by Sharework partners Marco Faroni, Alessandro Umbrico and Manuel Beschi from CNR-STIIMA and CNR-ISTC had the objective to discuss how recent developments in industrial planning and control can advance the state of the art and be applied to real-world manufacturing processes.
Researchers from industry and academia were invited with papers focused on human-robot collaboration, cognitive manufacturing, and manipulation in challenging scenarios. The keynote speech was delivered by Dr. Sotiris Makris, Head of Robotics, Automation and Virtual Reality from LMS, also Sharework partner, on “Industrial applications of cooperating robots for flexible manufacturing”.
On the other hand, two papers produced by Sharework were presented “Simplify the robot programming through an action-and-skill manipulation framework” and “Towards User-Awareness in Human-Robot Collaboration for Future Cyber-Physical Systems”.
On the other hand, the paper “Towards User-Awareness in Human-Robot Collaboration for Future Cyber-Physical Systems”, produced by Alessandro Umbrico, Andrea Orlandini, Amedeo Cesta (CNR-ISTC) Spyros Koukas, Andreas Zalonis (Intrasoft) Nick Fourtakas, Dionisis Andronas, George Apostolopoulos and Sotiris Makris (LMS), focuses on… the integration of Artificial Intelligence (AI) and Augmented Reality (AR) technologies to support user-awareness and personalized interactions in Human-Robot Collaboration. On the one hand, the paper shows how the ontological model and the knowledge base developed within Sharework capture user-related knowledge about skills, expertise level and performance in order to build user profiles and dynamically adapt collaborative processes to workers. On the other, AR-based interaction technologies supports multi-modal communications that workers may use according to their preferences and relies on the same profile-level knowledge (e.g., expertise level of the user) to personalized the interaction showing for example different types and levels of detail of information about production tasks and procedures.