Yazan Aljeroudi
Papers
1
Total Citations
3
H-Index
1
About
Yazan Aljeroudi is a robotics researcher whose work focuses on autonomous navigation, path planning, and intelligent ground vehicle systems. His most-cited paper, "A path planning algorithm for lane-following-based autonomous mobile robot navigation" (2009), addresses the critical challenge of enabling robots to navigate roadway-like environments while avoiding obstacles. This work was developed in the context of the Intelligent Ground Vehicle Competition (IGVC), a prestigious international event that pushes the boundaries of autonomous vehicle technology. Aljeroudi's contributions to lane-following algorithms and obstacle avoidance have practical implications for self-driving cars and mobile robotics, earning his work recognition within the field. With 3 citations, his research has laid foundational groundwork for subsequent studies in autonomous navigation. By tackling real-world constraints like dynamic obstacles and path adherence, Aljeroudi has helped advance the reliability and safety of autonomous mobile robots, making his work relevant for students and researchers exploring intelligent transportation systems and field robotics.
Research Focus
Key Achievements
Top Papers
- 1