Muhammad Umair Shafiq
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Papers
1
Total Citations
18
H-Index
1
About
Dr. Muhammad Umair Shafiq is a robotics researcher whose work centers on autonomous navigation, motion planning, and control systems for mobile robots in complex, dynamic environments. His most-cited paper, "Real-time navigation of mecanum wheel-based mobile robot in a dynamic environment" (2024, 18 citations), introduces a novel algorithm that enables a mecanum-wheeled robot to autonomously reach a goal while avoiding obstacles via the shortest feasible path. This contribution addresses a longstanding challenge in robotics—combining real-time obstacle avoidance with efficient path planning for omnidirectional platforms. Dr. Shafiq’s research has practical implications for warehouse automation, assistive robotics, and industrial logistics, where agile, safe navigation is critical. His work stands out for integrating mecanum wheel kinematics with dynamic environment adaptation, offering a robust solution for real-world deployment. With growing citation impact, Dr. Shafiq is establishing himself as a rising figure in mobile robotics, bridging theoretical control algorithms with tangible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1