Adnaan Munir Khan

Jaypee University of Information Technology

Papers

Total Citations

H-Index

About

Adnaan Munir Khan is a robotics and embedded systems researcher whose work focuses on intelligent autonomous systems for real-world applications. His most-cited paper, "Obstacle Sensing and Anti-falling Sensor Robot Using Embedded Processor" (2009, 2 citations), introduced a small-scale prototype that integrates infrared and anti-falling sensors with an embedded processor to create an autonomous robot capable of navigating obstacles and preventing falls. This foundational work demonstrates Khan’s core contribution: designing versatile, low-cost robotic platforms that can be adapted for various uses through simple programming changes. While his citation count is modest, the paper’s practical approach to sensor integration and embedded control highlights his commitment to accessible, functional robotics. Khan’s research bridges hardware and software, offering a scalable model for educational and industrial applications. His work serves as a stepping stone for students and researchers exploring autonomous navigation, sensor fusion, and embedded system design, emphasizing that even small-scale prototypes can inspire broader innovations in robotics.