Y.A.M. Shawgi

International Islamic University Malaysia

Papers

Total Citations

H-Index

About

Y.A.M. Shawgi is a researcher focused on autonomous mobile robotics, with particular expertise in sensor-based navigation and path planning. Their work centers on integrating vision systems—especially depth-sensing cameras—to enable robots to perceive and move through indoor environments without human intervention. Shawgi’s most cited paper, “Autonomous Navigation of Mobile Robot Using Kinect Sensor” (2014, 9 citations), tackles the challenge of real-time processing in depth camera applications for localization and navigation, presenting a practical solution using the Microsoft Kinect XBOX 360. A second notable contribution, “Vision Aided Path Planning for Mobile Robot” (2014, 2 citations), provides a historical overview and development framework for vision-guided path planning, a critical component for autonomous movement from start to goal positions. Though their citation counts are modest, Shawgi’s work addresses foundational problems in real-time sensor processing and vision-aided navigation, contributing to the broader field of mobile robotics. Their research offers valuable insights for students and engineers developing cost-effective, sensor-driven autonomous systems for indoor applications.