Akshit Sharma

Papers

Total Citations

H-Index

About

Akshit Sharma’s research lies at the intersection of embedded systems, human-computer interaction, and assistive robotics, with a focus on intuitive gesture-based control mechanisms. His most cited work, “Gesture control robot using accelerometer” (2017, 8 citations), introduces a novel system that leverages a 3-axis accelerometer (ADXL335) and an ATmega16 microcontroller to enable real-time gesture recognition for robot navigation. This contribution bridges electronics and computer science, offering a low-cost, accessible solution for hands-free device control—a concept with implications for assistive technologies and industrial automation. While his citation count reflects early-stage impact, the work demonstrates a clear ability to integrate hardware and software for practical, user-centered applications. Sharma’s research contributes to the growing field of gesture-based interfaces, where natural human movements replace traditional input methods. His work is particularly relevant for students and researchers exploring embedded systems, sensor fusion, and human-robot interaction, providing a foundational example of how accelerometer data can be translated into actionable commands. As he continues to develop his portfolio, Sharma’s focus on accessible, real-world solutions positions him as a promising voice in the evolution of gesture-controlled robotics.