Asim Munir

International Islamic University, Islamabad

Papers

Total Citations

H-Index

About

Asim Munir is a researcher in robotics and computer vision, with a focus on enabling mobile robots to perceive and interact with their environments. His early work introduced a color segmentation technique for visual attention in mobile robots, a foundational approach that has garnered 5 citations and helped advance autonomous navigation systems. Munir also contributed to shape recognition with a study on scale- and rotation-tolerant shape signatures derived from convex hulls, a method that achieved 2 citations and demonstrated his interest in robust feature extraction. While his citation counts reflect a niche but impactful presence in the field, his research underscores key challenges in visual perception for robotics—namely, how to efficiently process color and shape information for real-time decision-making. Munir’s contributions are particularly relevant for students and researchers exploring low-level vision algorithms for mobile platforms, offering practical insights into segmentation and classification that remain applicable in modern autonomous systems.