Barre Alex Epenetus

University of Petroleum and Energy Studies

Papers

Total Citations

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About

Barre Alex Epenetus is a robotics researcher whose work centers on mobile robot localization and control systems, with a particular focus on improving the accuracy of odometry-based navigation. His most cited paper, "Investigation on optimized relative localization of a mobile robot using regression analysis" (2016), addresses a fundamental challenge in autonomous robotics: the precise determination of a differential drive robot's position using kinematic parameters. By applying regression analysis to optimize odometry data, Epenetus offers a method to reduce cumulative errors in relative localization—a critical issue for robots operating in environments where external positioning systems are unavailable. While his citation count is modest, this work contributes to the broader field of mobile robotics by enhancing the reliability of self-localization techniques. Epenetus’s research is particularly relevant for students and engineers working on cost-effective, sensor-limited robotic platforms, where robust odometry remains essential for navigation and control.