Shantanu Malhotra

Papers

Total Citations

H-Index

About

Shantanu Malhotra’s research lies at the intersection of embedded systems, human-computer interaction, and robotics, with a focus on intuitive control mechanisms. His most-cited work, “Gesture control robot using accelerometer” (2017), introduces a robot controlled by a 3-axis accelerometer (ADXL335) paired with an ATmega16 microcontroller, enabling natural gesture-based commands. This paper, with 8 citations, demonstrates his ability to bridge hardware and software for practical, user-friendly applications. Malhotra’s contributions advance gesture recognition—a field spanning computer science, electronics, and language technologies—by simplifying human-machine interfaces. His work has implications for assistive technologies, industrial automation, and interactive systems, offering a low-cost, accessible approach to robotic control. While his citation count reflects early-stage impact, the foundational nature of his research positions him as a promising contributor to embedded robotics and sensor-based interaction. Malhotra’s achievements highlight a commitment to making technology more responsive and human-centric, inspiring future work in gesture-driven systems.