Fahmid Kabir

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About

Fahmid Kabir is a robotics researcher whose work centers on autonomous navigation and embedded systems, with a particular focus on intelligent obstacle avoidance. His most-cited paper, "Design of an Indicative Featured and Speed Controlled Obstacle Avoiding Robot" (2019, 7 citations), presents a foundational contribution to mobile robotics by integrating Arduino UNO and Adafruit Motor Shield technologies. In this work, Kabir developed a robotic unit capable of real-time object detection and adaptive path planning, where the robot not only identifies obstacles in its trajectory but also makes autonomous decisions to navigate around them while maintaining controlled speed. This research demonstrates practical implementation of sensor integration and motor control algorithms, written in Arduino IDE, offering a scalable framework for educational and prototyping applications in robotics. Kabir’s contributions bridge theoretical concepts in autonomous navigation with tangible, low-cost hardware solutions, making his work particularly valuable for students and researchers entering the field of embedded robotics. His focus on indicative features and speed regulation in obstacle avoidance systems highlights his commitment to creating efficient, responsive robotic platforms that can operate in dynamic environments.