Khaoula Maatoug
Papers
3
Total Citations
22
H-Index
3
About
Khaoula Maatoug is a researcher focused on assistive robotics and autonomous navigation systems, with a particular emphasis on improving mobility for individuals with disabilities. Her work centers on developing intelligent control systems for electric wheelchairs, integrating sensor fusion and fuzzy logic to enhance autonomy and safety. In her most-cited paper (9 citations), she introduced a multisensor data fusion technique using an Extended Kalman Filter for precise wheelchair localization, combining data from multiple sensors to improve positioning accuracy. Her 2019 study (7 citations) advanced trajectory tracking control through a fuzzy logic controller, enabling smoother and more reliable autonomous movement. Additionally, her 2017 work (6 citations) proposed a method for autonomous indoor navigation using fuzzy logic and intermediate targets, allowing wheelchairs to navigate complex environments with greater flexibility. Collectively, these contributions address critical challenges in assistive technology, offering practical solutions for real-world deployment in homes and hospitals. Maatoug’s research has laid important groundwork for accessible, intelligent mobility aids, with her citation record reflecting growing interest in her sensor fusion and control approaches within the robotics community.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3