Nantu Das

Papers

Total Citations

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About

Nantu Das is a researcher in robotics and human-machine interaction, with a focus on developing accessible, low-cost automation solutions. His most cited work, "Mimicking Robotic Arm" (2018), presents a design and implementation of a mechanical arm using Arduino-UNO that replicates human arm motion with precision, enabling operation in environments where direct human intervention is challenging. This contribution demonstrates his commitment to bridging the gap between human dexterity and robotic functionality through intuitive control interfaces. Although his citation count is modest—with the paper accruing 4 citations—the work represents a foundational step in affordable, replicable robotic systems for educational and practical applications. Das's research explores the integration of Human Machine Interfaces (HMI) to enhance robotic responsiveness, making his work relevant for students and engineers interested in prototyping, embedded systems, and assistive robotics. His approach emphasizes simplicity and reproducibility, offering a clear pathway for further innovation in mimicking human motion for task-specific automation.