Welcome to Hybrid Production Systems cluster
-HPS-
Exploring the Future of Human-Centred Production at the 13th HPS Workshop!
The 13th Hybrid Production Systems (HPS) Workshop took place at the European Robotics Forum 2026 in Stavanger, bringing together leading experts from academia, industry, and research to explore the future of human-centred production. The event focused on the integration of robotics and Artificial Intelligence (AI) in flexible manufacturing, with particular emphasis on human–robot collaboration, AI-enabled cognition, and workforce upskilling.
Through keynote talks, pitch presentations, and interactive discussions, the workshop highlighted both technological advances and real-world challenges in deploying Hybrid Production Systems. Audience engagement via live polling further provided valuable insights into the evolving role of humans in AI-driven production environments.
👉 Discover the full workshop highlights, presentations, and key outcomes.
VISION
Efficient and Sustainable manufacturing through Hybrid Production
MISSION
Definition of roadmap for Hybrid Production Systems
PARTICIPANTS
Over 31 innovative FP7, H2020 and Horizon Europe funded projects
Who we are
Hybrid Productions System (HPS) cluster consists of over 40 EU-funded projects (FP7, H2020, Horizon Europe) dealing with hybrid production. It promotes knowledge and experience sharing, aiming to define the roadmap for Hybrid Production Systems.
Thematic areas
Each year, under the HPS activities, we bring to the spotlight various thematic areas dealing with hybrid production. In 2023 the thematic areas of interest, as presented during the 10th HPS Workshop in ERF 2023, are the following:
- Intelligent work piece handling
- Handling systems for flexible materials
- AI for Human-Robot Collaboration
- Seamless Human-Robot Collaboration
Activities
Cluster activities involve a number of community workshops, common newsletters, press releases and white papers, aiming to define the roadmap for Hybrid Production Systems.
Contact us
Laboratory for Manufacturing Systems and Automation (LMS)
Dr. Sotiris Makris