Josep Escoda

Papers

Total Citations

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About

Josep Escoda is a robotics researcher whose work bridges precision navigation and assistive technology. His primary research areas include autonomous mobile robot localization, sensor fusion, and intelligent systems for mobility support. Escoda’s major contribution lies in developing robust, flexible navigation solutions for industrial environments—combining laser and vision systems to enable robots to operate with high precision without costly infrastructure changes. His most cited work, "Using Laser and Vision to Locate a Robot in an Industrial Environment: A Practical Experience" (2006, 17 citations), demonstrates a practical approach to reconciling accuracy with adaptability, a persistent challenge in industrial robotics. He further refined laser-based positioning techniques in his 2004 paper on dynamic robot positioning using a laser-based goniometer (11 citations). Beyond industrial applications, Escoda contributed to inclusive technology with "e-Tools: An agent coordination layer to support the mobility of persons with disabilities" (2006, 5 citations), showcasing his commitment to applying robotics and AI for social benefit. His work has influenced both autonomous vehicle navigation and human-centered assistive systems, making him a notable figure in applied robotics research.