Papers

3

Total Citations

149

H-Index

2

About

Dr. Hajer Omrane is a robotics researcher specializing in intelligent control systems for autonomous mobile robot navigation. Her work focuses on integrating soft computing techniques—particularly fuzzy logic and artificial neural networks—to enable robots to perceive and navigate complex indoor environments. Her most influential contribution, "Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation" (2016), has garnered 139 citations by pioneering a unified controller that simultaneously handles trajectory tracking and obstacle avoidance, a significant improvement over prior dual-controller architectures. She further advanced the field with "Neural controller of autonomous driving mobile robot by an embedded camera" (2018), demonstrating how a single camera input can drive an RC car prototype using ANN-based control, laying groundwork for vision-only autonomous systems. Her research in "Intelligent mobile robot navigation" (2017) explores the synergy between image processing and intelligent algorithms for real-time navigation. Dr. Omrane’s work bridges theoretical soft computing with practical robotic applications, offering scalable solutions for autonomous driving and service robotics. Her contributions are particularly valuable for students and researchers seeking efficient, sensor-limited navigation strategies.

Research Focus

Key Achievements

2
H-Index
3
Papers
149
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy Logic Based Control for Autonomous Mobile Robot Navigation
139 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Sfax, National Engineering School of Tunis

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago