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About

Jerzy Garus is a prominent robotics and control systems researcher whose work spans two interconnected domains: autonomous underwater vehicles and mobile ground robotics. Over nearly two decades, he has made significant contributions to the application of intelligent control methodologies in challenging and hard-to-access environments. Garus is perhaps best known for pioneering the use of soft computing and fuzzy logic in underwater robot navigation, developing autopilot systems that employ way-point line-of-sight schemes alongside fuzzy controllers and genetic algorithm optimization — work that has garnered consistent citation since his early publications in 2005 and 2007. His research into model reference adaptive control further demonstrated sophisticated approaches to trajectory tracking in both planar and spatial underwater motion, while his thrust allocation studies addressed practical energy efficiency challenges in multi-thruster propulsion systems. More recently, Garus has turned his expertise toward autonomous ground robotics, producing well-received work on real-time 3D environment mapping using SLAM techniques, including adaptive Monte Carlo localization methods for industrial terrain applications. These papers, accumulating 26 citations between 2021 and 2022, reflect growing influence in the autonomous navigation community. His contributions to mechatronics systems literature, indexed in Web of Science, further underscore his broad impact across academia and applied engineering research.