Papers

3

Total Citations

14

H-Index

2

About

Hala El Ouarrak is a robotics researcher whose work centers on autonomous navigation and motion planning for wheeled robotic systems. Her research focuses on developing mathematical frameworks to address the complex kinematic and dynamic challenges inherent in four-wheel robot locomotion, with a particular emphasis on applying the Decomposition-Coordination (DC) principle to solve nonlinear planning problems. Her most significant contribution, "Trajectory Planning for a Four-Wheel Robot Using Decomposition-Coordination Principle" (2015), has garnered 8 citations and laid the groundwork for her subsequent research by establishing a robust modeling approach for solving nonlinear equations governing robot motion. Building on this foundation, her 2017 work on reactive path planning extended these methods into dynamic environments, demonstrating how the Decomposition-Coordination Method enables safe navigation around unpredictable obstacles — a critical capability for real-world robotic deployment. Collectively accumulating 14 citations, El Ouarrak's research bridges theoretical control mathematics and practical robotics engineering, offering solutions that balance computational elegance with real-time applicability. Her contributions are particularly valuable for researchers and students exploring autonomous ground vehicle navigation, nonlinear systems modeling, and intelligent obstacle avoidance strategies in mobile robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory planning for a four-wheel robot using decomposition-coordination principle
8 citations · 2015
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Université Hassan II Mohammedia, University of Hassan II Casablanca

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago