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About

Vidyapati Kumar is a multidisciplinary researcher whose work spans industrial automation, multi-criteria decision-making (MCDM), additive manufacturing, and biomedical engineering. He has made significant contributions to the field of robotic selection methodologies, most notably through his highly cited 2021 study applying the SWARA-CoCoSo framework to spray painting robot selection, which has garnered 84 citations and established him as a key voice in intelligent manufacturing decision-making. His subsequent work on arc welding robot selection using an integrated PIPRECIA-TOPSIS model further demonstrates his commitment to advancing systematic, data-driven approaches for industrial automation challenges. Parallel to his automation research, Kumar has actively explored the frontier of 3D bioprinting, contributing peer-reviewed work on polymer bioprinting for tissue engineering and bionics, as well as broader biomedical applications of additive manufacturing. His 2025 review on ankle-foot orthosis design, bridging biomechanics, robotics, and additive manufacturing, highlights his ability to connect engineering innovation with real-world healthcare solutions. Collectively, his publications reflect a researcher dedicated to solving complex engineering problems through interdisciplinary thinking, with a growing citation footprint that signals meaningful influence across both manufacturing and biomedical research communities.