Waleed Obaid

Papers

Total Citations

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About

Waleed Obaid’s research lies at the intersection of robotics, mechatronics, and real-time computer vision, with a focus on autonomous navigation and object recognition. His most cited work, “Real-Time Color Object Recognition and Navigation for QUARC QBOT2” (2017), demonstrates a practical integration of Microsoft Kinect-based vision systems with Quanser’s QBOT2 ground robot, advancing how robotic platforms perceive and interact with their environments. By developing efficient object recognition techniques that operate in real time, Obaid’s contributions support the broader fields of educational robotics and autonomous systems, enabling more responsive and intelligent robotic behaviors. Though his citation count is still growing—with this paper reaching 3 citations—his work represents foundational steps in combining affordable sensor technology with robust control algorithms. Obaid’s research is particularly valuable for students and engineers seeking accessible methods to implement color-based object detection and navigation on mechatronic platforms. His ongoing efforts continue to bridge the gap between theoretical computer vision and practical robotic applications, making him a noteworthy contributor to the next generation of autonomous ground vehicles.