Mohammad Amin Adibi

Papers

Total Citations

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About

Mohammad Amin Adibi is a researcher whose work lies at the intersection of robotics, control theory, and multi-agent systems, with a particular focus on adaptive coverage control in complex environments. His most-cited paper, "Adaptive coverage control in non-convex environments with unknown obstacles" (2013, 10 citations), introduces an innovative adaptive control law that enables teams of mobile robots to navigate and cover non-convex spaces while avoiding unknown obstacles. This work masterfully integrates potential field methods, adaptive control techniques, and Voronoi-based decomposition, offering a robust solution to a fundamental challenge in autonomous robotics. By addressing the problem of sensor coverage in realistic, obstacle-filled environments, Adibi’s contribution has practical implications for search-and-rescue operations, environmental monitoring, and industrial automation. While his citation count reflects a focused, early-stage impact, the technical depth and ingenuity of his approach demonstrate a strong potential for future influence. Adibi’s research is particularly valuable for students and engineers interested in the intersection of decentralized control, obstacle avoidance, and adaptive systems—a foundation for building more resilient and autonomous robotic networks.