Ahlem Nafti
Papers
1
Total Citations
5
H-Index
1
About
Ahlem Nafti is a researcher specializing in autonomous robotics and intelligent control systems, with a particular focus on mobile robot navigation in complex, unknown environments. Her most cited work, "Autonomous mobile robot navigation coupling fuzzy logic and reactive DVZ 3D obstacle avoidance control" (2015), introduces a hybrid approach that combines fuzzy logic controllers (FLC) for goal-seeking behavior with reactive DVZ (Deformable Virtual Zone) methods for three-dimensional obstacle avoidance. This innovative framework enables robots to navigate safely and efficiently without prior environmental knowledge, addressing critical challenges in real-world autonomous navigation. While her citation count of 5 reflects a specialized, emerging field, the work demonstrates foundational contributions to integrating soft computing techniques with reactive control architectures. Nafti’s research bridges theoretical control design and practical robotic applications, offering scalable solutions for autonomous systems operating in dynamic, unstructured spaces. Her approach is particularly valuable for advancing robotics in search-and-rescue, industrial automation, and service robotics, where adaptability and real-time decision-making are paramount.
Research Focus
Key Achievements
Top Papers
- 1