Jignesh Shah

Papers

Total Citations

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About

Jignesh Shah is a leading researcher in the field of electrostatic adhesion and robotic gripping systems. His work focuses on optimizing electrode geometries to enhance the performance of electrostatic adhesives, which are critical for robotic manipulation, attachment, and gripping applications. Shah’s most-cited paper, "Optimization and experimental validation of electrostatic adhesive geometry" (2013, 33 citations), introduces a novel method for designing electrode patterns that maximize adhesive force while minimizing voltage requirements. This contribution has significant implications for robotics, particularly in industries requiring delicate or non-destructive gripping, such as manufacturing, aerospace, and healthcare. By applying high-voltage potentials on the order of kilovolts to precisely engineered electrodes, Shah’s research enables more reliable and efficient robotic interactions with a variety of surfaces. His work bridges the gap between theoretical optimization and practical validation, offering a robust framework for future advancements in electrostatic adhesion. Shah’s contributions are particularly notable for their potential to revolutionize robotic gripping technologies, making them safer, more energy-efficient, and adaptable to complex tasks. His research continues to inspire innovations in robotics and materials science.