Ibai Ulacia

Papers

Total Citations

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About

Ibai Ulacia is a researcher whose work lies at the intersection of industrial robotics, mechanical dynamics, and precision manufacturing. His primary research focuses on understanding and mitigating the effects of external forces on robotic systems, particularly the torsional stiffness of joints and its impact on trajectory accuracy. In his most-cited work, "Industrial Robotics Trajectory Compensation Model and Joints Torsional Stiffness Impact Analysis," Ulacia developed a compensation model to address the displacement and deformation errors that occur when industrial robots encounter force disturbances. This contribution is critical for improving the precision of automated manufacturing processes, where even minor trajectory deviations can compromise product quality. While his citation count is still growing, his research addresses a fundamental challenge in robotics: the gap between programmed and executed motion under real-world loads. Ulacia’s work is particularly valuable for engineers and researchers working on robotic machining, assembly, and material handling, where stiffness and accuracy are paramount. His findings offer a pathway toward more reliable and adaptive robotic systems, making him a promising voice in the field of industrial robotics and mechanical system optimization.