Mona Moradi
Papers
1
Total Citations
2
H-Index
1
About
Mona Moradi’s research centers on robotics and autonomous navigation, with a particular focus on developing efficient maze-solving algorithms for low-quality mechanical robots. Her most cited work, “Variable Priority in Maze-Solving Algorithms for Robot’s Movement,” co-authored with Babak Hosseini Kazerouni and Pooya Hosseini Kazerouni, was presented at the 20th International Symposium on Automation and Robotics in Construction (ISARC) in 2003. This paper introduces a variable priority approach that adapts search strategies based on robot hardware constraints, enabling reliable navigation even with imprecise sensors or limited computational resources. The algorithm’s practical significance lies in its ability to optimize movement in constrained environments, making it particularly valuable for educational robotics and low-cost automation systems. While her citation count of 2 reflects a niche but focused impact, the work demonstrates early recognition of the importance of hardware-aware algorithm design in robotics. Moradi’s contribution to adaptive pathfinding remains relevant for researchers exploring robust navigation solutions in resource-limited settings, and her approach continues to inform discussions on algorithm-hardware co-optimization in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1