Samuel Obadan

European University Cyprus, University of South Africa

Papers

Total Citations

H-Index

About

Samuel Obadan’s research bridges robotics, artificial intelligence, and home security, with a focus on multi-agent systems and optimization. His most cited work, “A Robotic System for Home Security Enhancement” (2010, 6 citations), laid foundational concepts for integrating autonomous robots into domestic safety applications, demonstrating early innovation in human-robot interaction. Building on this, his 2019 paper “A Multi-Objective Optimization Approach to Robot Localization of Single and Multiple Emission Sources” (3 citations) explores a growing research axis in AI: how emergent corporate behavior from non-complex multi-agent robots can provide sustainable solutions to complex localization problems. This work addresses the challenge of detecting and mapping emission sources—such as gas leaks or radiation—using coordinated robot swarms, advancing both theoretical optimization and practical deployment. Though his citation counts are modest, Obadan’s contributions highlight a forward-thinking approach to leveraging collective robotic intelligence for real-world challenges, offering valuable insights for students and researchers interested in multi-robot systems, swarm intelligence, and the intersection of AI with environmental monitoring and security.