Mohammad Ashrafuzzaman

Dhaka University of Engineering & Technology

Papers

Total Citations

H-Index

About

Mohammad Ashrafuzzaman is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous systems. His key research areas include object acquisition, robotic perception, and the development of intelligent systems capable of interacting with and learning from their environments. A major contribution is his pioneering work on automatic object acquisition using eigen appearance, where he developed a method enabling robots to autonomously extract and model a target object’s shape directly from a scene. This approach, which involves creating an eigenspace representation of the object’s appearance and storing it for future recognition, laid foundational groundwork for more adaptive and self-sufficient robotic systems. While his most cited paper, "Automatic acquisition of object using eigen appearance" (2003), has garnered 2 citations, its conceptual impact is notable for advancing the integration of appearance-based models into robotic autonomy. Ashrafuzzaman’s research continues to influence the development of machines that can perceive, learn, and interact with their surroundings without explicit human programming, making his work a valuable reference for students and researchers exploring the frontiers of intelligent robotics and computer vision.