Pablo Cotera Elizondo

Center for Engineering and Industrial Development

Papers

Total Citations

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About

Pablo Cotera Elizondo is a leading researcher in robotics and industrial automation, with a focused expertise in indoor positioning systems for mobile robots. His most influential work, "Indoor Robot Positioning Using an Enhanced Trilateration Algorithm" (2016, 52 citations), addresses a critical challenge in smart manufacturing: accurately navigating wheeled robots on cluttered production floors. Cotera Elizondo developed novel algorithms that leverage radio-frequency distance measurements and enhanced trilateration techniques, using a grid of transceivers (anchors) mounted on factory columns to create a reliable positioning framework. This contribution is pivotal for enabling autonomous material handling and logistics within complex industrial environments, directly supporting the advancement of Industry 4.0. His research bridges the gap between theoretical localization methods and practical, real-world deployment, offering robust solutions that improve robot accuracy and operational efficiency. By tackling the specific constraints of indoor factory settings—such as signal interference and spatial limitations—Cotera Elizondo’s work has become a foundational reference for engineers and researchers developing cost-effective, scalable positioning systems for autonomous guided vehicles.