Mubashir Usman Ijaz

Pakistan Institute of Engineering and Applied Sciences

Papers

Total Citations

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About

Mubashir Usman Ijaz is a robotics researcher whose work centers on autonomous navigation, control systems, and bio-inspired optimization for mobile robots. His most-cited paper, "Bio-inspired BAS: Run-time Path-planning And The Control of Differential Mobile Robot" (2022, 9 citations), introduces a novel control architecture that integrates Beetle Antennae Search (BAS) optimization for real-time trajectory tracking and obstacle avoidance in differential drive mobile robots. This work addresses a fundamental challenge in autonomous navigation—combining path planning with dynamic controller tuning—and demonstrates how nature-inspired algorithms can enhance robotic performance in unstructured environments. Ijaz's contributions lie in bridging theoretical optimization with practical robotic control, offering efficient solutions for run-time decision-making. His research has implications for autonomous vehicles, service robotics, and industrial automation, where reliable obstacle avoidance and precise trajectory following are critical. With a growing citation record, Ijaz is establishing himself as an emerging voice in bio-robotics and intelligent control systems, contributing to the next generation of adaptive, self-optimizing mobile robots.