Ahmed Alghuraid

Prince Mohammad bin Fahd University

Papers

1

Total Citations

4

H-Index

1

About

Ahmed Alghuraid is a researcher specializing in robotics, indoor positioning systems, and embedded control. His work focuses on the intersection of ultra-wideband (UWB) technology and autonomous mobile platforms, particularly for confined or grid-based environments. In his highly cited 2021 paper, Alghuraid developed a novel UWB indoor positioning system (IPS) designed to precisely control the position of a mecanum-driven robotic platform. By integrating Decawave MDEK1001 modules with an ATmega2560 microcontroller, he demonstrated a robust solution for real-time localization and navigation in indoor settings. This contribution addresses critical challenges in warehouse automation, industrial robotics, and smart manufacturing, where accurate positioning without GPS is essential. With 4 citations, his work has already influenced subsequent research in UWB-based robot control and sensor fusion. Alghuraid’s achievements highlight his ability to bridge hardware design and control algorithms, offering practical, scalable solutions for next-generation autonomous systems. His research continues to inspire students and engineers working on precision robotics and indoor navigation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Development of Ultra-Wide-Band Indoor Positioning System Designed to Control The Position of a Grid Confined Robotic Platform
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Prince Mohammad bin Fahd University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 8 days ago