Shabih Ul Hassan

National University of Science and Technology

Papers

Total Citations

H-Index

About

Shabih Ul Hassan is a researcher in intelligent robotics and autonomous navigation systems, with a focus on developing adaptive, biologically inspired algorithms for real-world robotic movement. His most cited work, "Modified SOM based intelligent semi-autonomous navigation system" (2012), addresses the fundamental challenge of enabling robots to perceive and navigate complex environments without collision. By applying a modified Self-Organizing Map (SOM) approach, Hassan contributed to semi-autonomous systems that balance human input with machine learning, allowing robots to move efficiently from one point to another while dynamically responding to obstacles. Though his citation count is modest, his work sits at the intersection of neural computation and practical robotics, offering early insights into how intelligent navigation can be integrated into daily life. Hassan’s research is particularly relevant for students and engineers exploring low-cost, adaptive navigation solutions for service robots and autonomous vehicles. His contributions highlight the importance of sensor-based perception and real-time decision-making in creating robots that are not just autonomous, but truly collaborative with human operators.