Eloy Irigoyen

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About

Eloy Irigoyen’s research lies at the intersection of robotics, neural networks, and environmental monitoring, with a particular focus on unmanned aerial vehicles (UAVs) and parallel kinematic machines. His most cited work, “Real time direct kinematic problem computation of the 3PRS robot using neural networks” (2017, 55 citations), introduces a novel neural network-based approach to solving the computationally intensive direct kinematic problem for the 3PRS parallel robot, enabling real-time control and advancing the field of robotic manipulation. Irigoyen has also pioneered the use of UAVs as versatile platforms for environmental sensing. His paper “AR.Drone as a platform for measurements” (2017, 12 citations) explores the use of commercial drones for gas leak detection, highlighting their flexibility over ground-based systems. Complementing this, his work “Mobile Wireless System for Outdoor Air Quality Monitoring” (2016, 11 citations) proposes a competitive, alternative system that leverages UAVs for flexible, real-time air quality assessment. Together, these contributions demonstrate Irigoyen’s impact in creating practical, mobile sensing solutions that bridge robotics and environmental science, with his neural network work remaining a key reference for researchers in parallel robotics.