Papers
4
Total Citations
99
H-Index
4
About
Farah Kamil is a leading researcher in autonomous mobile robotics, specializing in navigation and motion planning for unknown, dynamic environments. Her work addresses one of the field’s most persistent challenges: enabling robots to operate safely and efficiently in unpredictable, ever-changing spaces. Kamil’s major contributions include the development of a novel robot navigation algorithm that integrates future prediction with priority-based behavior, allowing robots to anticipate and react to moving obstacles in real time. This foundational work, published in 2017, has garnered 41 citations and is complemented by her multilayer decision-based fuzzy logic model (26 citations), which enhances decision-making under uncertainty. She has also provided a comprehensive review of existing approaches and challenges in robotic motion planning (17 citations), offering a critical roadmap for the field. Her innovative use of ANFIS-based optimized fuzzy-multilayer decision approaches (15 citations) further demonstrates her commitment to adaptive, intelligent systems. With over 99 total citations, Kamil’s research is essential reading for anyone exploring robust, real-world robot autonomy.
Research Focus
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