Papers

6

Total Citations

142

H-Index

5

About

Ehab Al Khatib is a robotics researcher whose work centers on mobile robot navigation, sensor fusion, and control systems for both macro- and microscale robots. His most impactful contribution is a low-cost navigation system for wheeled mobile robots operating in indoor and outdoor environments, which uses probabilistic methods to fuse visual and inertial sensors—a paper that has garnered 49 citations. He is also known for advancing localization techniques through the Extended Kalman Filter, integrating encoders, compasses, IMUs, and GPS to achieve robust robot positioning, cited 33 times. Beyond ground robots, Al Khatib explores nonlinear dynamics, including the control of an inertially actuated jumper robot, and has recently ventured into the emerging field of magnetically actuated millirobots. His 2023 work on feedback control of millimeter-scale pivot walkers and automated group motion control for swarms of tiny robots demonstrates a shift toward biomedical and environmental applications. With over 140 total citations across his publications, Al Khatib’s research bridges practical low-cost solutions with cutting-edge miniaturization, making him a versatile figure in modern robotics.

Research Focus

Key Achievements

5
H-Index
6
Papers
142
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Low-Cost Reduced Navigation System for Mobile Robot in Indoor/Outdoor Environments
49 citations · 2020
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Southern Methodist University, American University of Sharjah

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago