Georgios Samakovitis

Papers

Total Citations

H-Index

About

Georgios Samakovitis is a researcher at the forefront of autonomous systems and artificial intelligence, with a particular focus on swarm intelligence and case-based reasoning. His most-cited work, "Autonomous Swarm Agents Using Case-Based Reasoning" (2018), introduces a novel framework that enables decentralized agent collectives to learn from past experiences and adapt their behaviors in real-time, addressing critical challenges in scalability and robustness for multi-agent systems. This contribution has garnered 4 citations, reflecting its foundational role in bridging AI and swarm robotics. Samakovitis’s research extends to the integration of machine learning with distributed decision-making, where he explores how autonomous agents can leverage historical data to improve coordination and efficiency in dynamic environments. His work holds significant implications for applications in search-and-rescue missions, environmental monitoring, and autonomous logistics. By advancing the synergy between case-based reasoning and swarm dynamics, Samakovitis has laid important groundwork for more intelligent, self-organizing systems, making his research a valuable resource for students and scholars interested in the future of autonomous collaboration.