Edmund Brekke

Norwegian University of Science and Technology, University Graduate Center

Papers

Total Citations

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About

Edmund Brekke is a leading researcher in autonomous systems, with a focus on dynamic positioning, sensor fusion, and human-robot interaction. His most cited work, "Development of a Dynamic Positioning System for the ReVolt Model Ship" (2018, 36 citations), showcases his expertise in control systems for autonomous vessels, providing a critical test platform for advancing maritime autonomy. Brekke’s contributions extend to agricultural robotics through his paper "Unscented Multi-Point Smoother for Fusion of Delayed Displacement Measurements" (2017, 9 citations), where he addresses computational challenges in visual odometry, enabling more efficient navigation for weed removal robots. Additionally, his work "Sound source recognition for human robot interaction" (2008, 4 citations) pioneers intelligent audio detection systems for recognizing users in noisy environments, enhancing human-robot collaboration. Brekke’s research bridges theoretical innovation and practical implementation, with his dynamic positioning system serving as a foundational tool for autonomous vessel development. His interdisciplinary approach—spanning maritime, agricultural, and social robotics—demonstrates a commitment to solving real-world challenges, making him a key figure in the evolution of autonomous technologies.