Papers
23
Total Citations
887
H-Index
13
About
Faiza Gul is a prominent robotics and autonomous systems researcher whose work has significantly advanced the fields of robot navigation, path planning, and multi-robot coordination. Her research focuses on developing intelligent algorithms that enable autonomous robots to operate efficiently in complex, obstacle-laden environments across applications spanning space exploration, disaster relief, and industrial automation. Gul's most influential contribution, "A Comprehensive Study for Robot Navigation Techniques" (2019), has garnered 257 citations, establishing her as a leading voice in autonomous navigation. She has made substantial strides in meta-heuristic and bio-inspired optimization, notably developing hybrid algorithms such as PSO–GWO and Frequency Modified Whale Optimization to solve challenging multi-objective path planning problems, earning 141 and 75 citations respectively. Her series of multi-robot space exploration studies demonstrates a consistent commitment to advancing coordinated robotics, introducing innovative frameworks like the Coordinated Multi-Robot Exploration Aquila Optimizer (CME-AO). With over 700 cumulative citations across her top publications, Gul's research bridges theoretical optimization with real-world robotic applications. Her work provides foundational resources for engineers and researchers developing the next generation of intelligent, autonomous robotic systems capable of tackling complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive study for robot navigation techniques257 citations · 2019
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- 4Multi-Robot Space Exploration: An Augmented Arithmetic Approach67 citations · 2021
- 5A Centralized Strategy for Multi-Agent Exploration56 citations · 2022
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- 7A review of controller approach for autonomous guided vehicle system33 citations · 2020
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- 10An Integrated approach for Path Planning for Mobile Robot Using Bi-RRT28 citations · 2019