Kamalakanta Muduli

Papua New Guinea University of Technology

Papers

Total Citations

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About

Dr. Kamalakanta Muduli is a prominent researcher in industrial automation and smart manufacturing, with a focus on optimizing robotic systems for modern production environments. His work centers on the critical challenge of robot selection in manufacturing, logistics, and assembly lines, where he applies advanced decision-making frameworks to enhance efficiency and precision. Notably, his highly cited 2018 paper, "A Grey Relation Approach for Selection of Industrial Robot," introduces a novel multi-criteria methodology that helps industries choose the most suitable robots for complex tasks, addressing the growing necessity of automation in the sector. This contribution has garnered 5 citations, reflecting its practical relevance. More recently, his 2022 study on "Design and Modeling of Virtual Robot for Industrial Application in Smart Manufacturing Assembly Line" (3 citations) explores digital twin technologies, advancing the integration of virtual prototyping in smart factories. Dr. Muduli’s research bridges theoretical modeling and real-world industrial applications, making significant strides in improving productivity and adaptability in automated systems. His work is essential reading for engineers and researchers seeking to navigate the evolving landscape of Industry 4.0 and robotic automation.