E. Chandrasekhar

Papers

Total Citations

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About

E. Chandrasekhar is a pioneering researcher at the intersection of robotics, artificial intelligence, and the Internet of Things (IoT), with a focus on transforming industrial automation through digital twin technology. His most-cited work, "Design and development of robotic technology through microcontroller system with machine learning techniques" (2024, 5 citations), introduces a groundbreaking virtual prototype framework that integrates robotic systems with digital twins. By combining AI-driven machine learning with microcontroller-based control, Chandrasekhar enables real-time simulation and lifecycle management of physical systems, significantly enhancing decision-making and operational efficiency in industrial sectors. This work exemplifies his broader contributions to developing intelligent, adaptive robotic platforms that bridge the physical and digital worlds. Chandrasekhar’s research is particularly notable for its practical applications in smart manufacturing, where his digital twin frameworks allow for predictive maintenance, optimized performance, and reduced downtime. As a rising voice in the field, his work is gaining traction among engineers and researchers seeking to harness the power of AI and IoT for next-generation automation. Chandrasekhar’s innovative approach positions him as a key contributor to the future of robotics and cyber-physical systems.