Nazmun Nahar
Papers
2
Total Citations
16
H-Index
2
About
Nazmun Nahar is a robotics and intelligent systems researcher whose work centers on autonomous navigation, human-robot interaction, and machine learning for cooperative tasks. Her most cited paper, "An Ultrasonic Line Follower Robot to Detect Obstacles and Edges for Industrial and Rescue Operations" (2020, 14 citations), introduces a smart autonomous robot that uses infrared sensors to follow a visible line while employing ultrasonic sensors to detect obstacles and edges—a dual-function design critical for industrial automation and search-and-rescue missions. This work demonstrates her ability to bridge practical engineering with real-world safety applications. In her earlier research, "Interactive intelligent agents with creative minds: Experiments with mobile robots in cooperating tasks by using machine learning" (2017, 2 citations), Nahar explores how multiple robots can coordinate creative tasks through Principal Component Analysis (PCA), a pattern recognition algorithm. This study contributes to the growing field of multi-agent systems, showing how machine learning can enable robots to plan and execute cooperative actions. Though her citation counts are modest, her focus on integrating sensor-based navigation with intelligent decision-making positions her as a researcher advancing the frontier of autonomous robotics for industrial and humanitarian use.
Research Focus
Key Achievements
Top Papers
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