Irum Abdullah
Papers
1
Total Citations
2
H-Index
1
About
Irum Abdullah is an emerging researcher in robotics and embedded systems, with a focus on autonomous navigation and intelligent control. Her most-cited work, "An Efficient Autonomous Maze Solving Robot based on Microcontroller by Avoiding Obstacles Using a Decision-Making Algorithm" (2023), addresses a classic challenge in robotics: enabling a self-driving robot to navigate unknown environments without human intervention. By designing a microcontroller-based system that employs a decision-making algorithm for obstacle avoidance and path planning, Abdullah contributes to the development of cost-effective, autonomous solutions with applications in search-and-rescue, warehouse logistics, and smart manufacturing. Though early in her career—with 2 citations to date—her work reflects a growing interest in practical, real-time robotics. Abdullah’s research bridges foundational concepts in artificial intelligence and hardware implementation, offering a scalable approach to autonomous maze solving. As the field advances toward fully self-driving robots, her contributions provide a stepping stone for students and researchers exploring low-cost, efficient navigation systems. Her work signals a promising trajectory in applied robotics and embedded AI.
Research Focus
Key Achievements
Top Papers
- 1