Waliur Rahman Rafie

Papers

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About

Waliur Rahman Rafie is a robotics researcher whose work centers on autonomous navigation, path planning, and obstacle avoidance for mobile robotic systems. His most influential contribution, the 2017 paper “2D mapping and vertex finding method for path planning in autonomous obstacle avoidance robotic system,” has garnered 10 citations and introduces a novel approach for continuous, real-time navigation in both indoor and outdoor environments. In this work, Rafie developed a method that enables a robot to autonomously construct a 2D map of its surroundings while using range measurement sensors to detect and circumvent obstacles. The vertex-finding technique he proposed allows for efficient path planning, ensuring smooth and collision-free movement. This research addresses a fundamental challenge in mobile robotics—how to enable a machine to perceive its environment and make intelligent navigation decisions without human intervention. Rafie’s contributions are particularly relevant for applications in autonomous vehicles, service robots, and exploration drones. His work stands as a practical step toward more capable and self-reliant robotic systems, demonstrating the power of sensor integration and algorithmic design in real-world autonomous navigation.