Konstantinos I. Roumeliotis
Papers
3
Total Citations
221
H-Index
2
About
Konstantinos I. Roumeliotis is an emerging researcher at the forefront of artificial intelligence, with a particular focus on agentic systems, generative AI, and embodied intelligence. His work centers on bringing conceptual clarity to rapidly evolving AI paradigms, addressing the growing need for structured frameworks in a field often characterized by overlapping and misused terminology. His most impactful contribution to date is his critically acclaimed taxonomy distinguishing AI Agents from Agentic AI — a conceptual distinction with profound implications for system design, deployment, and governance. Published in 2025, this work has already accumulated over 120 citations, reflecting its immediate relevance to both academic and applied AI communities. The paper has appeared in the context of information fusion research, underscoring its interdisciplinary reach. Roumeliotis has also turned his attention to Vision-Language-Action (VLA) models, publishing a comprehensive foundational review that synthesizes recent advances in unifying perception, language understanding, and embodied action within single computational frameworks — a frontier area with significant robotics and AI applications. Through rigorous survey-based scholarship, Roumeliotis is establishing himself as a valuable synthesizer of complex AI concepts, helping students, engineers, and researchers navigate the increasingly sophisticated landscape of modern artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges120 citations · 2025
- 2AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges99 citations · 2025
- 3