Hasan Sarwar
Papers
1
Total Citations
13
H-Index
1
About
Hasan Sarwar is a robotics researcher whose work focuses on autonomous navigation and map discovery in unknown environments. His most cited paper, "A Greedy Approach in Path Selection for DFS Based Maze-map Discovery Algorithm for an autonomous robot" (2012, 13 citations), addresses the fundamental challenge of enabling robots to explore and map unfamiliar spaces without prior knowledge. In this work, Sarwar proposed three novel variants of the Depth First Search (DFS) algorithm, integrating a greedy approach for path selection to improve efficiency in maze-like environments. This contribution is significant for advancing autonomous robot exploration, offering practical solutions for real-world applications such as search-and-rescue missions or warehouse automation. While his citation count reflects a focused impact, Sarwar’s work demonstrates a clear commitment to solving core problems in robotics and artificial intelligence, particularly in algorithmic path planning. His research provides a foundation for students and engineers interested in developing more intelligent and autonomous systems, highlighting the importance of algorithmic innovation in enabling robots to navigate and understand their surroundings.
Research Focus
Key Achievements
Top Papers
- 1