Wioletta Koperska

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About

Wioletta Koperska is a leading researcher in the automation and safety of underground mining operations, with a primary focus on intelligent inspection and localization systems for heavy machinery. Her work addresses critical challenges in deep mine infrastructure, particularly the detection of damage to conveyor belts—a vital component of continuous transport networks that can span hundreds of kilometers. In her highly cited 2021 paper (27 citations), she pioneered the use of legged robots for autonomous belt inspection, offering a safer, more efficient alternative to manual checks. Koperska also made significant strides in vehicle localization, developing a novel method that combines inertial measurement unit (IMU) sensors with the Dynamic Time Warping (DTW) algorithm to track Load-Haul-Dump (LHD) machines in GPS-denied underground environments (20 citations). Her contributions are instrumental in advancing the reliability of mining logistics and reducing human risk. By integrating robotics, sensor fusion, and pattern recognition, Koperska is shaping the future of autonomous mining, making her work essential reading for engineers and researchers in industrial automation and geotechnical safety.