Djamila Naceur
Papers
1
Total Citations
6
H-Index
1
About
Djamila Naceur is a leading researcher in robotics and artificial intelligence, whose work bridges the gap between nature-inspired algorithms and autonomous systems. Her primary research areas include motion planning, swarm intelligence, and bio-inspired optimization, with a focus on enabling robots to navigate complex, dynamic environments more efficiently. Her most notable contribution is the development of the GLWOA-RRT* algorithm, a groundbreaking approach that integrates the Grey Wolf Optimizer with the Rapidly-exploring Random Tree* framework. This nature-inspired method significantly enhances path planning for autonomous robots, reducing computational cost while improving obstacle avoidance and trajectory smoothness. Her 2025 paper on this topic has already garnered 6 citations, reflecting its immediate impact on the field. Naceur’s work is particularly influential for researchers in autonomous navigation, drone technology, and industrial robotics, offering practical solutions for real-world deployment. Her achievements highlight a commitment to advancing robotic autonomy through interdisciplinary innovation, making her a rising figure in the intersection of computational intelligence and robotics.
Research Focus
Key Achievements
Top Papers
- 1