Hadeel Alamri

Papers

Total Citations

H-Index

About

Hadeel Alamri is a robotics researcher whose work centers on autonomous navigation and maze-solving algorithms, with a particular focus on developing efficient, real-world robotic systems. Her major contributions lie in advancing the classic wall-follower approach, which she enhanced to create more robust and adaptable autonomous navigation strategies. Alamri’s 2021 paper, “Autonomous Maze Solving Robotics: Algorithms and Systems,” has garnered 23 citations, establishing a foundational framework for the field. She built upon this in 2023 with “An Autonomous Maze-Solving Robotic System Based on an Enhanced Wall-Follower Approach,” which earned 20 citations by demonstrating how robots can more reliably interpret their surroundings and navigate around obstacles from a starting point to a destination. Her work is notable for bridging theoretical algorithm design with practical implementation, addressing a core challenge in robotics: enabling machines to autonomously discover and orient themselves in unknown environments. Alamri’s research is particularly impactful for students and engineers interested in embedded systems, sensor integration, and real-time decision-making, offering clear, reproducible methodologies for building self-navigating robots. Her achievements highlight a commitment to solving fundamental problems in autonomous mobility, making her a rising voice in the field.