Papers
1
Total Citations
5
H-Index
1
About
Sanjay Dey is a robotics researcher whose work sits at the intersection of mechatronics, control systems, and human–robot interaction. His most-cited paper, “Development of an Android Recognition Open-Loop Tracking Control of Writing Robotic Arm” (2019, 5 citations), introduces a novel robotic writing hand that integrates Android-based character recognition with open-loop trajectory control. This contribution addresses a fundamental challenge in assistive and educational robotics: enabling machines to replicate the nuanced, evolutionary process of human handwriting. By combining real-time gesture recognition with precise actuator commands, Dey’s system demonstrates how low-cost, accessible platforms can perform complex motor tasks. Though his citation count is modest, his work is notable for its practical, interdisciplinary approach—bridging software recognition and hardware control to create functional prototypes. Dey’s research offers a compelling entry point for students interested in the convergence of mobile computing and robotic manipulation, highlighting how open-loop strategies can be effectively deployed in constrained environments. His focus on writing as a medium of expression underscores a broader vision: building robots that not only move, but communicate.
Research Focus
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Top Papers
- 1