Nikolaos Vlassopoulos
Institut national de recherche en sciences et technologies du numérique
Papers
2
Total Citations
11
H-Index
2
About
Nikolaos Vlassopoulos is a researcher in distributed robotics and multi-agent systems, with a primary focus on solving the Decentralized Gathering Problem. His work addresses the fundamental challenge of enabling autonomous agents with severely limited sensing—so-called "quasi-blind" robots—to aggregate into compact clusters without any central control or external coordination. Vlassopoulos’s major contributions include the development of robust, bio-inspired aggregation schemes that allow these simple agents to self-organize effectively even in active, dynamic environments. His most cited works, including "A Robust Aggregation Method for Quasi-blind Robots in an Active Environment" (2011, 6 citations) and "A Robust Scheme for Aggregating Quasi-Blind Robots in an Active Environment" (2012, 5 citations), represent foundational steps in applying these biologically motivated algorithms to real-world robotic swarms. While his citation count is modest, his research is notable for tackling a core problem in swarm intelligence—how minimal agents can achieve complex collective behaviors—and for laying the groundwork for more advanced studies in decentralized coordination.
Research Focus
Key Achievements
Top Papers
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