Mario Arzamendia

Papers

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About

Mario Arzamendia is a researcher whose work centers on autonomous robotics, with a particular focus on path planning for Autonomous Surface Vehicles (ASVs) operating in complex, dynamic environments. His major contribution lies in developing simulation tools that enable the study of local path planning—a critical capability that allows ASVs to navigate safely and efficiently by adjusting routes in real time to avoid obstacles and respond to changing conditions. His 2019 paper, "Development of a Simulator for the Study of Path Planning of An Autonomous Surface Vehicle in Lake Environments," which has garnered 4 citations, exemplifies his hands-on approach to bridging theoretical algorithms with practical, real-world applications. By creating a dedicated simulator for lake environments, Arzamendia has provided a valuable platform for testing and refining navigation strategies before deployment, enhancing the reliability of ASVs in environmental monitoring and exploration. His work contributes to the broader field of robotics by addressing the challenges of local path planning in water-based settings, offering insights that benefit both researchers and engineers working on autonomous navigation systems.