Metwali Shoeir

Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

H-Index

About

Metwali Shoeir is a robotics researcher whose work focuses on the mechatronic design and autonomous control of industrial vehicles, particularly forklifts. His most-cited paper, "Design of an Autonomous Forklift Using Kinect" (2018, 11 citations), presents a complete mechatronics implementation that uses a Microsoft Kinect sensor for perception and navigation. This work addresses a critical industry challenge: reducing the cost and human labor associated with material handling in factories. By integrating affordable depth-sensing technology with autonomous navigation, Shoeir demonstrates a practical pathway toward automating repetitive, physically demanding tasks. His contributions lie at the intersection of mechanical design, sensor integration, and control systems, offering a scalable solution for smart manufacturing environments. While his citation count reflects a focused, early-career impact, the work has practical significance for logistics and warehouse automation. Shoeir’s research exemplifies how accessible sensors and robust mechatronics can transform traditional industrial equipment into intelligent, autonomous systems, reducing human fatigue and operational costs.