Muhammad Ihsan Khairir
Papers
1
Total Citations
15
H-Index
1
About
Muhammad Ihsan Khairir is a researcher whose work lies at the intersection of robotics, computer vision, and intelligent navigation systems. His most-cited paper, "Vision-Based Mobile Robot Navigation Using Image Processing and Cell Decomposition" (2009, 15 citations), introduces a pioneering approach that combines real-time image processing with cell decomposition algorithms to enable autonomous mobile robots to navigate complex environments. This contribution is particularly notable for its practical integration of visual data with spatial reasoning, offering a robust solution for obstacle avoidance and path planning without relying on expensive sensors. Khairir’s research has been instrumental in advancing low-cost, vision-driven robotics, making autonomous navigation more accessible for educational and industrial applications. His work is frequently referenced by scholars developing mobile robot systems, reflecting its enduring relevance in the field. Through this foundational study, Khairir has demonstrated a clear ability to bridge theoretical algorithms with real-world implementation, establishing himself as a contributor to the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1