Umairah Shaharum
Papers
2
Total Citations
6
H-Index
2
About
Umairah Shaharum’s research focuses on the critical challenges of autonomous robot navigation, particularly in path planning for both known and unknown environments. Her work addresses the fundamental problem of enabling robots to efficiently and safely determine optimal routes, a key bottleneck in the development of truly autonomous systems. In her most cited paper, “Challenging of path planning algorithms for autonomous robot in known environment” (2014, 4 citations), Shaharum and her co-authors systematically evaluate the limitations of existing algorithms when applied to structured spaces, highlighting trade-offs between computational efficiency and path optimality. A companion study, “Challenging of Path Planning Algorithms for Autonomous Robot in Unknown Environment” (2014, 2 citations), extends this analysis to dynamic, unmapped settings, where sensor uncertainty and real-time adaptability become paramount. While her citation counts are modest, these works serve as foundational references for researchers tackling the practical hurdles of robotic mobility. Shaharum’s contributions underscore the importance of algorithm robustness in real-world applications, from warehouse logistics to search-and-rescue operations, and her insights continue to inform subsequent advances in autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2