Jose Angel Pelegay

Papers

Total Citations

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About

José Ángel Pelegay is a researcher whose work sits at the critical intersection of robotics and precision manufacturing, with a primary focus on enhancing the viability of industrial robots for machining operations. His key contributions address a fundamental challenge in the field: the inherent lack of stiffness in robotic arms compared to traditional CNC machines, which leads to vibration and reduced accuracy. Pelegay’s most cited work, "Reducing the uncertainty in robotic machining by modal analysis" (2017), introduces a systematic method to characterize and mitigate these dynamic instabilities. By applying modal analysis, his research provides a framework to predict and compensate for the structural vibrations that compromise machining quality, directly tackling the trade-off between a robot’s flexibility, low cost, and adaptability versus its precision limitations. This contribution is pivotal for industries seeking to leverage robots for energy-efficient, cost-effective manufacturing without sacrificing part quality. While his citation count reflects a specialized, emerging field, Pelegay’s work is foundational for researchers and engineers developing robust, high-accuracy robotic machining cells, helping to bridge the gap between industrial robotics and the stringent demands of subtractive manufacturing.