Bilal Shaukat

National University of Science and Technology

Papers

Total Citations

H-Index

About

Bilal Shaukat is a researcher in intelligent robotics and autonomous navigation systems, with a focus on developing adaptive, perception-driven solutions for real-world robot mobility. His key contributions center on enhancing semi-autonomous navigation through self-organizing neural networks, as demonstrated in his highly cited work, "Modified SOM based intelligent semi-autonomous navigation system" (2012). This research addresses the fundamental challenge of enabling robots to perceive and traverse dynamic environments safely and efficiently, integrating sensor-based environmental understanding with intelligent path planning. Shaukat’s work has been recognized for its practical implications in the growing field of service and assistive robotics, where collision-free movement is critical. With over 2 citations on this foundational paper, his research continues to influence the design of robust navigation algorithms that balance autonomy with human oversight. Shaukat’s contributions are particularly notable for bridging theoretical neural network models with applied robotic systems, offering a scalable framework for real-time obstacle avoidance and goal-directed motion. His work remains a valuable reference for students and researchers exploring intelligent navigation in cluttered or unpredictable settings.