Ankita Ghosh

Papers

Total Citations

H-Index

About

Ankita Ghosh is a researcher in robotics and human-machine interaction, with a focus on developing intuitive systems that bridge the gap between human motion and mechanical execution. Her most-cited work, "Mimicking Robotic Arm" (2018, 4 citations), presents a design and implementation of a robotic arm controlled via Arduino-UNO that replicates human arm movements with notable precision. This contribution addresses critical challenges in environments where direct human intervention is difficult or hazardous, such as in industrial automation or remote surgery. By leveraging Human Machine Interface (HMI) principles, Ghosh’s work demonstrates how accessible, low-cost hardware can be used to create responsive robotic systems that learn from and mirror human gestures. While her citation count reflects an emerging career, the practical impact of her research lies in its potential to democratize robotic assistance, making it more adaptable to real-world tasks. Ghosh’s work contributes to the broader field of assistive robotics, offering a foundation for future innovations in teleoperation and human-robot collaboration.