Shifat Hossain

Khulna University of Engineering and Technology

Papers

Total Citations

H-Index

About

Shifat Hossain is a researcher whose work lies at the intersection of robotics, artificial intelligence, and autonomous systems. His most-cited paper, "An autonomous robot: Using ANN to navigate in a static path" (2017, 6 citations), introduces a novel approach to intelligent robotic control by training an autonomous robot with an Artificial Neural Network (ANN). This contribution enables the robot to not only follow a predetermined path with precision but also to dynamically detect and avoid obstacles without human intervention—a critical capability for real-world deployment. By demonstrating how ANN-based navigation can operate effectively in static environments, Hossain’s work provides a foundational step toward more adaptive and self-reliant robotic systems. His research addresses key challenges in autonomous navigation, blending machine learning with practical robotics to enhance safety and autonomy. While his citation count reflects an emerging career, the conceptual impact of his work is significant for students and engineers exploring neural network applications in robotics. Hossain’s findings offer a clear, implementable model for intelligent path planning, making his contributions a valuable reference for those advancing autonomous vehicle and robot navigation technologies.