Gargi Saha

Papers

Total Citations

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About

Gargi Saha’s research centers on human-machine interaction and robotic systems, with a particular focus on developing intuitive interfaces that bridge the gap between human motion and mechanical replication. Her most cited work, “Mimicking Robotic Arm” (2018), introduces a design and execution framework for a robotic arm controlled via Arduino-UNO that accurately replicates human arm movements. This contribution addresses critical challenges in environments where direct human intervention is difficult or hazardous, such as in hazardous material handling or remote surgery. With 4 citations, this foundational paper demonstrates early impact in the field of biomimetic robotics. Saha’s approach leverages Human Machine Interface (HMI) principles to enable seamless translation of human gestures into robotic actions, advancing the accessibility and practicality of assistive robotic technologies. Her work represents a meaningful step toward more natural and efficient human-robot collaboration, offering a scalable solution for applications ranging from industrial automation to rehabilitation. As a researcher, Saha contributes to the growing body of knowledge on low-cost, replicable robotic systems that prioritize user-centered design and real-world utility.