Faysal Ahmed
Papers
1
Total Citations
10
H-Index
1
About
Faysal Ahmed is a robotics researcher whose work centers on autonomous navigation, obstacle avoidance, and path planning for mobile robotic systems. His most cited paper, “2D mapping and vertex finding method for path planning in autonomous obstacle avoidance robotic system” (2017, 10 citations), introduces a practical approach for continuous, real-time navigation in both indoor and outdoor environments. In this work, Ahmed develops a method where a robot autonomously creates a 2D map of its surroundings using range measurement sensors, then identifies vertices in the environment to plan collision-free paths. This contribution addresses a fundamental challenge in robotics—enabling machines to move safely and efficiently through unknown spaces without human intervention. While his citation count reflects a growing field, Ahmed’s work is notable for its applied, systems-level thinking, bridging sensor data processing with real-world robotic control. His research is particularly relevant for students and engineers interested in autonomous vehicles, service robots, or field robotics, offering a clear, implementable framework for obstacle avoidance that balances computational efficiency with practical reliability.
Research Focus
Key Achievements
Top Papers
- 1