Md Ahsan Habib
Papers
1
Total Citations
12
H-Index
1
About
Md Ahsan Habib is a researcher in robotics and multi-agent systems, with a primary focus on coverage path planning and optimization. His most-cited work, "Optimizing Coverage Performance of Multiple Random Path-planning Robots" (2012, 12 citations), addresses the fundamental challenge of coordinating multiple robots to efficiently cover a terrain. In this paper, Habib introduces a novel algorithm that generates coverage paths for each robot, ensuring that the union of these paths achieves near-complete coverage while minimizing total mission time. This contribution is particularly valuable for applications in search-and-rescue, environmental monitoring, and automated cleaning systems. By tackling the trade-off between path efficiency and coverage completeness, Habib’s work provides a practical framework for deploying multi-robot teams in real-world scenarios. His research advances the theoretical understanding of multi-agent coordination and offers actionable solutions for autonomous systems operating in complex environments. For students and researchers exploring robotics, Habib’s work serves as a key reference for optimizing performance in distributed, random-path planning tasks.
Research Focus
Key Achievements
Top Papers
- 1Optimizing Coverage Performance of Multiple Random Path-planning Robots12 citations · 2012