Israa AL-Forati
Papers
5
Total Citations
39
H-Index
4
About
Israa AL-Forati is a robotics researcher specializing in indoor localization and multi-robot systems, with a focus on low-cost, scalable solutions. Her work centers on developing novel algorithms and sensor arrays—using LEDs, IR receivers, and Light Dependent Resistors (LDRs)—to enable precise robot positioning without expensive hardware. Her major contributions include the Minimum Bounded Circle Algorithm, K-Means Clustering for multi-robot localization, and efficient mathematical approaches for indoor navigation, all demonstrated through practical implementations. With her most-cited papers each garnering 12 citations, AL-Forati’s research has laid groundwork for affordable, accessible robotics in constrained environments. She has also advanced path planning with obstacle avoidance using low-cost IR sensors, addressing the full pipeline from mapping to navigation. Her 2020 work on anchor node arrays further extends her impact, offering a deployable system for identifying and localizing multiple robots simultaneously. AL-Forati’s emphasis on cost-effectiveness and real-world testing makes her contributions particularly valuable for educational robotics, warehouse automation, and assistive technologies in resource-limited settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2IR Sensors Array for Robots Localization Using K Means Clustering Algorithm12 citations · 2019
- 3
- 4
- 5Robotics Path Planning Algorithms using Low-Cost IR Sensor4 citations · 2020