M. Eswaran

Papers

Total Citations

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About

M. Eswaran is a leading researcher in advanced manufacturing and human-robot collaboration, whose work bridges the gap between automation and human-centered design. His key research areas include collaborative assembly systems, immersive visualization technologies, and optimal layout planning for industrial robotics. Eswaran’s most cited paper, "Optimal layout planning for human robot collaborative assembly systems and visualization through immersive technologies" (2023, 63 citations), introduces a groundbreaking framework that integrates virtual reality and simulation tools to optimize workspace configurations for safe, efficient human-robot interaction. This work has significant implications for smart factories, enabling real-time layout adjustments that reduce ergonomic risks and improve productivity. By combining computational optimization with immersive technologies, Eswaran provides practical solutions for Industry 4.0 challenges, making his research highly relevant for both academia and industry. His contributions are widely recognized, with his work cited across robotics, manufacturing, and human factors engineering. Eswaran’s innovative approach continues to shape the future of collaborative automation, offering a blueprint for designing adaptive, human-centric assembly environments that leverage the strengths of both humans and robots.