Aman Budhraja

Papers

Total Citations

H-Index

About

Aman Budhraja is a researcher whose work sits at the intersection of embedded systems, human-computer interaction, and assistive robotics. His most cited paper, “Gesture control robot using accelerometer” (2017, 8 citations), introduces a novel approach to controlling robotic movement through natural hand gestures, leveraging a 3-axis ADXL335 accelerometer paired with an ATmega16 microcontroller. This contribution demonstrates a practical, low-cost method for gesture recognition—a field bridging computer science, electronics, and communication technologies. Budhraja’s work is notable for its potential applications in assistive devices, where intuitive, non-verbal control can empower individuals with mobility challenges. While his citation count reflects an emerging career, the foundational nature of his research on gesture-based interfaces signals a meaningful step toward more accessible human-robot interaction. His focus on integrating hardware and software solutions for real-time control highlights a commitment to engineering innovations that are both functional and user-centric, making his contributions a valuable reference for students and researchers exploring embedded systems and robotics.