Papers
19
Total Citations
642
H-Index
11
About
Maram Alajlan is a prominent researcher specializing in mobile robotics, autonomous systems, path planning, and cloud robotics — fields at the intersection of artificial intelligence, distributed computing, and unmanned systems. Her work has garnered over 590 citations, reflecting its substantial influence on the robotics research community. Alajlan's most celebrated contribution is her development of optimized path planning algorithms for autonomous mobile robots, particularly in large-scale grid environments. Her 2015 paper introducing Relaxed Dijkstra and A* with linear complexity — cited 150 times — demonstrated how classical algorithms could be significantly accelerated without sacrificing solution quality, a breakthrough for real-world robot deployment. This work emerged from the two-year iRoboApp research project, which systematically evaluated both exact and heuristic planning methods, further documented in her 2017 design and performance analysis study. Beyond ground robotics, Alajlan has made meaningful strides in drone technology, developing Dronemap Planner, a cloud-based management system for Internet-of-Drones applications, cited 100 times. Her contributions to cloud robotics extend to ROSLink and Hadoop-based architectures, bridging the Robot Operating System with modern IoT and cloud infrastructure. Through multi-agent architectures like COROS and practical implementations like TurtleBot at Office, she has consistently advanced the development of intelligent, cooperative, and service-oriented robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Robot Path Planning and Cooperation50 citations · 2018
- 6ROSLink: Bridging ROS with the Internet-of-Things for Cloud Robotics45 citations · 2017
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- 8Introduction to Mobile Robot Path Planning30 citations · 2018
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