Archisman Sarkar

National Institute of Information and Communications Technology

Papers

Total Citations

H-Index

About

Archisman Sarkar is a researcher whose work bridges the frontiers of human-computer interaction and robotics, with a particular focus on gesture recognition and intuitive control systems. His most-cited paper, "Bluetooth communication controlled robot based on gesture recognition" (2015, 6 citations), exemplifies his early contributions to developing accessible, real-world robotic interfaces. In this work, Sarkar explored how mathematical algorithms and model outputs can interpret human gesticulations, transmitting processed commands to robotic platforms—a foundational step toward more natural human-machine collaboration. While his citation count reflects a focused, emerging impact, his research sits at the intersection of communication technology, computer vision, and embedded systems, addressing the challenge of making robotic control seamless and user-friendly. Sarkar’s work contributes to the broader goal of enabling non-expert users to interact with robots through simple gestures, a key enabler for assistive technologies, smart environments, and educational robotics. His approach—prioritizing practical, low-cost implementations like Bluetooth-based control—demonstrates a commitment to democratizing robotic interaction. For students and researchers entering the field, Sarkar’s research offers a clear example of how foundational work in gesture recognition can drive innovation in human-robot interaction, with potential applications spanning from rehabilitation to industrial automation.