Y. Yurramendi

Papers

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About

Y. Yurramendi’s research centers on mobile robotics, with a particular focus on the quantitative evaluation and comparison of robot motion algorithms. Their major contribution lies in addressing a long-standing gap in the field: the lack of standardized metrics for assessing trajectory planning performance. In their most-cited work, “Robot Trajectories Comparison: A Statistical Approach” (2014), Yurramendi proposed a rigorous statistical framework to compare collision-free paths, moving beyond qualitative or ad-hoc assessments. This work, which has garnered 2 citations, provides a systematic methodology for benchmarking robot motion, enabling more objective and reproducible evaluations across different algorithms and environments. By tackling this foundational measurement problem, Yurramendi’s research helps advance the reliability and comparability of autonomous navigation systems, offering a valuable tool for both roboticists and engineers working on path planning. Their contribution is particularly notable for its potential to standardize performance evaluation in a field where such consensus has been elusive.