Author(s):
Figueiras, Paulo ; Ioannou, Giorgos ; Lambri, Charalambos ; Reji, Sangheeta ; Mossali, Elena ; Neviani, Martina Imarisio ; Koussouris, Sotiris ; Bountouni, Nefeli ; in Cugurra, Marina Da Bormida ; Hellbach, Robert ; Bibikas, Dimitris ; O’Brien, Philip ; Agostinho, Carlos ; Jardim-Gonçalves, Ricardo
Date: 2026
Persistent ID: http://hdl.handle.net/10362/206223
Origin: Repositório Institucional da UNL
Subject(s): Artificial intelligence; Data; Research and innovation agendas; Roadmaps; Robotics; General Computer Science; General Engineering; General Economics,Econometrics and Finance; General Business,Management and Accounting
Description
Artificial intelligence (AI), data, and robotics are transformative technologies that drive innovation across industries and address critical societal challenges. This chapter outlines priority areas, including data processing for AI, synthetic data generation, autonomous systems, human-centric robotics, and explainable, science-guided, and adaptive AI, just to name a few. It emphasizes the need for robust frameworks to ensure ethical AI development, addressing concerns around bias, fairness, and accountability. The roadmaps and agendas will highlight cross-disciplinary collaboration, leveraging synergies among AI, big data analytics, and robotics. This chapter advocates foundational research in adaptive, explainable, science-guided AI while emphasizing applied research for real-world deployment. It provides a strategic vision to align public and private sector investments, strengthen Europe’s global competitiveness, and promote trust and inclusivity in AI, data, and robotics technologies.
