Milan Hurban

Papers

Total Citations

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About

Milan Hurban is a robotics researcher whose work focuses on the intersection of automation, control systems, and parameter estimation for specialized field robots. His key research areas include autonomous leveling mechanisms, granular material handling, and adaptive control for deployable robotic platforms. Hurban’s major contribution lies in developing a systematic approach to modeling and controller design for a self-leveling tripod base used in a granular-fill insulation distributing robot. His 2019 paper, “Automated Tripod Leveling and Parameter Estimation for a Granular-fill Insulation Distributing Robot,” addresses the challenge of unknown leg configurations after manual setup, providing a robust method for motion planning and control. While his citation count is modest—with this work garnering 4 citations—its practical significance is notable for advancing automation in construction and material distribution. Hurban’s research demonstrates a keen ability to solve real-world engineering problems, bridging the gap between theoretical control design and deployable robotics. His work is particularly valuable for students and researchers interested in field robotics, adaptive control, and the automation of traditionally manual tasks in industrial settings.