N. A. Rahman
Papers
1
Total Citations
3
H-Index
1
About
N. A. Rahman is a researcher specializing in robotics and swarm intelligence, with a particular focus on odor-sensing navigation and bio-inspired optimization algorithms. Their most cited work, "Particle Swarm Optimization (PSO) for Simulating Robot Movement on Two-Dimensional Space Based on Odor Sensing" (2017, 3 citations), introduces a novel approach that leverages PSO to guide robots in tracking chemical plumes within a two-dimensional environment. This contribution addresses a growing interest in autonomous robotic systems capable of environmental monitoring and search-and-rescue operations. By integrating swarm intelligence with olfactory sensing, Rahman’s research advances the field of mobile robotics, offering a computationally efficient method for odor source localization. While their citation count is modest, the work represents a foundational step in combining evolutionary algorithms with sensor-based navigation, highlighting the potential for further exploration in multi-robot coordination and real-world applications. Rahman’s research underscores the intersection of artificial intelligence and robotics, paving the way for more adaptive and intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1