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AI, Data, and Robotics: A Structured Overview of Contributions and Priorities

Artificial Intelligence, Data and Robotics: Foundations, Transformations and Future Directions | 2026

Paper Details

Authors: Vornhagen H.; Piatkiewicz P.; Heintz F.; Schoenauer M.; Belbachir A.N.; Girardi E.; Röning J.; Curry E.

DOI: 10.1007/978-3-032-10561-5_1

Journal: Artificial Intelligence, Data and Robotics: Foundations, Transformations and Future Directions

Year: 2026

Publisher: Springer Nature

Document Type: Book chapter

Open Access: All Open Access; Gold Open Access

Cited by: 0

Abstract

This chapter provides a comprehensive overview of the rapidly evolving fields of artificial intelligence, data, and robotics (ADR), introducing the foundational concepts, transformative applications, and forward-looking frameworks that structure the book. Positioned within Europe’s broader digital innovation landscape, it highlights how ADR technologies are reshaping key sectors (including manufacturing, healthcare, mobility, and environmental sustainability) while underscoring the importance of ethical, human-centric, and sustainable approaches to their development. Organized around three core themes, Foundations, Transformations, and Future Directions, the chapter situates the contributions of each subsequent section, tracing current research priorities, emerging technological trajectories, and real-world deployments. By emphasizing multidisciplinary collaboration and strategic foresight, it outlines how integrating technical excellence with societal values can foster trustworthy, equitable, and resilient digital ecosystems. Serving as a roadmap for the chapters that follow, this overview aims to inspire coordinated efforts among researchers, industry leaders, policymakers, and citizens to harness the full potential of AI, data, and robotics for the benefit of society. © The Editor(s) (if applicable) and The Author(s) 2026.

Keywords

Artificial intelligence (AI); Data; Digital transformation; Emerging technologies; Ethics; European innovation; Human-centric design; Robotics; Sustainability; Trustworthy AI