Irfan Mujahidin

Papers

Total Citations

H-Index

About

Irfan Mujahidin is a robotics researcher whose work centers on the integration of intelligent control systems and computer vision into autonomous platforms. His research spans key areas including robotic manipulation, real-time object detection, and precision targeting for mobile robots. One of his most influential contributions is the optimization of rocket launcher mechanisms on tracked robots, where he developed methods to determine accurate firing angles using PC-based control and servo motors—a paper that has garnered 26 citations and demonstrates his focus on practical, defense-oriented robotics. Mujahidin has also made notable strides in human-robot interaction, particularly through his work on real-time face detection for a 2-DOF robotic head. By implementing a Deep Integral Image Cascade algorithm, he enabled robots to recognize and track human faces, a foundational step toward creating more responsive and human-like machines. This work, cited 16 times, highlights his commitment to advancing autonomous systems that can perceive and interact with their environment. Mujahidin’s research is characterized by its direct application to real-world challenges, bridging the gap between theoretical control systems and tangible robotic performance.