Mohammed Alsubaie

Prince Mohammad bin Fahd University

Papers

1

Total Citations

4

H-Index

1

About

Mohammed Alsubaie is a researcher specializing in robotics, indoor positioning systems, and embedded control systems. His most cited work, "Development of Ultra-Wide-Band Indoor Positioning System Designed to Control The Position of a Grid Confined Robotic Platform" (2021), introduces a novel approach to precise indoor navigation. By integrating Decawave MDEK1001 Ultra-wideband (UWB) technology with an ATmega2560 microcontroller, Alsubaie designed a system capable of accurately controlling a mecanum-driven robotic platform within a confined grid. This contribution addresses key challenges in indoor localization, where GPS is often unreliable, offering a robust solution for automated environments such as warehouses and factories. While his citation count is currently modest at 4, the work represents a foundational step in UWB-based robotics control. Alsubaie’s research bridges hardware and software, demonstrating practical implementation of real-time position feedback for autonomous systems. His focus on low-cost, scalable positioning technologies holds promise for advancing mobile robotics and industrial automation, making his work relevant for students and engineers exploring indoor navigation and embedded system design.

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 · 9 days ago