Syed Nazmus Sakib

Papers

Total Citations

H-Index

About

Syed Nazmus Sakib is a robotics and embedded systems researcher whose work centers on autonomous navigation and intelligent control systems. 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 to create a robot capable of real-time object detection and autonomous path planning. This work demonstrates Sakib's expertise in developing cost-effective, sensor-driven robotic platforms that combine obstacle avoidance with speed control—a critical advancement for applications in industrial automation, assistive robotics, and educational prototyping. By coding in the Arduino IDE, he emphasizes accessible, open-source solutions that lower barriers to robotics research. Sakib's contributions are particularly notable for their practical engineering approach, bridging theoretical control algorithms with tangible hardware implementations. His research has influenced subsequent work in low-cost autonomous systems, and his citation record reflects growing recognition among peers in the robotics community. For students and researchers exploring embedded robotics, Sakib's work offers a clear blueprint for building intelligent, responsive machines that can navigate dynamic environments with precision and reliability.