Kazi Mahmud Hasan

Papers

Total Citations

174

H-Index

About

Kazi Mahmud Hasan is a robotics researcher whose work centers on autonomous navigation, path planning, and sensor integration for mobile robots. His most influential contribution is a seminal paper on path planning algorithms for autonomous vacuum cleaner robots, which has garnered 82 citations and laid foundational groundwork for intelligent cleaning systems. Hasan’s research addresses core challenges in autonomous robotics, including line-following mechanisms (44 citations), multi-line color discrimination with obstacle avoidance (39 citations), and vision-based object tracking (9 citations). His 2012 implementation of an autonomous line follower robot demonstrated closed-loop control systems that sense and follow visible paths, while his 2013 work on color line followers introduced the innovative Multiple Source Multiple Destination Robot (MDR-1), capable of autonomously selecting among colored paths to reach targets. These contributions have practical implications for domestic robotics, industrial automation, and assistive technologies. Hasan’s work is particularly notable for bridging theoretical control systems with tangible, low-cost robotic platforms, making autonomous navigation more accessible. His research continues to influence the development of intelligent, sensor-driven robots that operate reliably in real-world environments.