Darius Urbonis

Papers

Total Citations

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About

Darius Urbonis is a researcher focused on advancing automation and precision control in heavy machinery, particularly excavators. His work centers on sensor integration and trajectory generation for excavation processes, aiming to enhance efficiency and accuracy in construction and mining operations. His most-cited paper, "Determination of Excavator Tool Position using Absolute Sensors" (2021), with 5 citations, addresses a critical challenge: selecting optimal sensors for real-time tool position tracking. This contribution supports automated job execution, digging process simulation, and developmental testing of new tools or machines. By improving sensor-based position determination, Urbonis enables more reliable trajectory generation and controlled excavation, reducing human error and operational costs. His research bridges mechanical engineering and automation, offering practical solutions for industries reliant on heavy equipment. Though early in his career, his work lays groundwork for smarter, more autonomous construction technologies, with potential for significant impact as automation in heavy machinery continues to evolve.