Farah Adilah Mohd Kasran
Papers
1
Total Citations
4
H-Index
1
About
Dr. Farah Adilah Mohd Kasran is a rising authority in intelligent robotics and autonomous navigation, with a focused expertise in warehouse automation and mobile robot systems. Her most-cited work, "Optimized Global Path Planning with SLAM for Efficient Warehouse Autonomous Mobile Robot" (2025, 4 citations), addresses a critical bottleneck in modern logistics: the inflexibility of traditional Automated Guided Vehicles (AGVs) that rely on rigid line- or marker-based navigation. By integrating Simultaneous Localization and Mapping (SLAM) with optimized global path planning, Dr. Kasran’s research enables autonomous mobile robots (AMRs) to dynamically navigate around obstacles, significantly enhancing operational efficiency in complex warehouse environments. This contribution is particularly timely as industries seek scalable, flexible automation solutions. Though early in her career, her work has already garnered attention for its practical impact on real-world logistics challenges. Dr. Kasran’s research bridges the gap between theoretical path-planning algorithms and deployable robotic systems, positioning her as a promising innovator in the field of intelligent mobile robotics. Her ongoing efforts promise to further transform how autonomous systems perceive, plan, and act in dynamic industrial settings.
Research Focus
Key Achievements
Top Papers
- 1