Papers
1
Total Citations
14
H-Index
1
About
Md Shafiul is a robotics researcher whose work focuses on autonomous navigation and sensor integration for industrial and rescue applications. His 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 simultaneously employing ultrasonic sensors to detect obstacles and edges. This dual-sensor approach enhances the robot's ability to operate safely in dynamic environments, making it particularly valuable for industrial automation and search-and-rescue missions where reliable navigation is critical. By combining line-following capabilities with obstacle and edge detection, Shafiul addresses a key limitation of traditional line followers, which often fail when encountering unexpected barriers or drop-offs. His work contributes to the development of more robust and versatile autonomous systems, bridging the gap between simple track-following robots and fully autonomous platforms. Shafiul's research demonstrates a practical, application-driven approach to robotics, with potential impacts on manufacturing efficiency and emergency response operations.
Research Focus
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Top Papers
- 1