Souad Kamel
Papers
1
Total Citations
3
H-Index
1
About
Dr. Souad Kamel is a researcher whose work centers on the control and navigation of autonomous robotic systems, with a particular focus on wheeled mobile robots (WMRs) and their real-world applications in logistics and transportation. Her most notable contribution is a novel trajectory tracking framework that integrates neural adaptive correction, directly addressing the persistent challenge of achieving high-precision motion control in dynamic environments. This work, published in 2025 and already garnering 3 citations, proposes a sophisticated correction technique that enhances a WMR's ability to follow a desired path despite uncertainties and disturbances. By combining adaptive control with neural network-based learning, Kamel’s approach offers a robust solution for improving the reliability and accuracy of autonomous ground vehicles. Her research is pivotal for advancing the deployment of mobile robots in complex, unstructured settings, and her early citation impact signals growing recognition within the robotics community. Dr. Kamel’s contributions are laying essential groundwork for safer and more efficient autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Tracking of WMR with Neural Adaptive Correction3 citations · 2025