Papers
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Total Citations
123
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About
Shinu Abhi is a leading researcher at the forefront of Industry 4.0, specializing in the convergence of digital twins, robotics, and cyber-physical systems. Their seminal work, "Towards next generation digital twin in robotics: Trends, scopes, challenges, and future" (2023), has already garnered 123 citations, establishing them as a key voice in defining how these technologies fuse for collaborative functionality. Abhi’s major contribution lies in mapping the integration pathways between IoT, big data, cloud computation, and robotic systems, addressing critical challenges like interoperability and scalability that hinder next-generation automation. By systematically scoping the future of digital twin-enabled robotics, their research provides a foundational roadmap for engineers and scientists aiming to elevate Industry 4.0 from isolated smart components to truly interconnected, intelligent ecosystems. This work not only synthesizes emerging trends but also identifies pivotal research gaps, making it an essential reference for students and practitioners navigating the complex landscape of modern industrial robotics. Abhi’s insights are shaping how we think about the symbiotic relationship between virtual models and physical machines.
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Top Papers
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