Muhammad Talha Ejaz
Papers
1
Total Citations
4
H-Index
1
About
Muhammad Talha Ejaz is a robotics researcher whose work centers on autonomous navigation and path-planning for unmanned ground vehicles. His most-cited paper, “A 2D path-planning performance comparison of RRT and RRT* for unmanned ground vehicle” (2024, 4 citations), provides a rigorous comparative analysis of two fundamental sampling-based planners—RRT and RRT*—evaluating them on key metrics such as path accuracy, length, execution time, and turn efficiency. This study offers practical insights for selecting optimal planners in real-world mobile robot applications, contributing to the broader field of autonomous systems. Ejaz’s research addresses critical challenges in mobile robotics, including safe and efficient navigation in complex environments. His work is particularly relevant for students and researchers exploring motion planning algorithms, as it clarifies trade-offs between computational speed and path optimality. With a growing citation impact, Ejaz is establishing himself as a thoughtful contributor to robotic path-planning, helping bridge the gap between theoretical algorithm design and practical deployment in unmanned ground vehicles.
Research Focus
Key Achievements
Top Papers
- 1