Md. Arif Istiek Neloy

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About

Md. Arif Istiek Neloy is a researcher whose work lies at the intersection of robotics, autonomous navigation, and intelligent control systems. His most-cited paper, "An Intelligent Obstacle and Edge Recognition System using Bug Algorithm" (2020, 7 citations), addresses a fundamental challenge in robotics: enabling autonomous robots to detect obstacles and edges in real time and navigate safely to their destinations without collision. By integrating the Bug algorithm with edge recognition, Neloy’s system allows robots to dynamically plan alternative, collision-free paths—a critical capability for applications in search-and-rescue, warehouse automation, and domestic service robots. This contribution highlights his focus on practical, computationally efficient solutions for real-world robotic navigation. Neloy’s work is particularly notable for bridging theoretical path-planning algorithms with sensor-driven implementation, making it accessible for further development in embedded and low-cost robotic platforms. His research continues to influence emerging work in autonomous systems, especially where reliable obstacle avoidance is essential for safe operation in unstructured environments.