Mahfuz Hannan
Papers
1
Total Citations
10
H-Index
1
About
Mahfuz Hannan 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), introduces a novel approach that enables robots to continuously map their environment using range sensors while autonomously avoiding obstacles in both indoor and outdoor settings. This work has garnered 10 citations and demonstrates a practical, sensor-driven method for real-time navigation—critical for applications in service robotics, exploration, and automated logistics. Hannan’s contributions lie in bridging mapping and decision-making, allowing robots to traverse complex environments without human intervention. His research is particularly notable for its emphasis on low-cost, accessible sensor integration, making autonomous navigation more feasible for small-scale and educational robotic platforms. By focusing on vertex-based path planning within 2D maps, Hannan has provided a foundation for further advances in collision-free movement, influencing subsequent work in autonomous systems and inspiring students and researchers interested in practical robotics solutions.
Research Focus
Key Achievements
Top Papers
- 1