Abdussalam A. Alajami
Papers
7
Total Citations
45
H-Index
4
About
Abdussalam A. Alajami is a pioneering researcher at the intersection of robotics, Radio Frequency Identification (RFID), and digital twin technologies, with a focus on revolutionizing inventory management and Industry 4.0 applications. His most impactful work introduces a simple yet highly effective solution for locating groups of items in large retail stores using an autonomous ground robot equipped with an RFID payload—a method that has garnered 19 citations for its practical accuracy and versatility. Alajami further advances the field by designing ROS Gazebo simulation plugins that enable realistic RFID system testing, a critical tool for developing efficient Industry 4.0 use cases. His contributions extend to creating digital twins of retail stores, where RFID-captured product locations are visualized in 3D interfaces for virtual browsing, and to developing distributed multi-robot localization strategies for heterogeneous robot teams. Notable achievements include a vision-assisted dynamic antenna positioning inventory robot with a 3-degree-of-freedom manipulator and an energy-efficient hybrid aerial-ground vehicle design. With a growing portfolio of highly cited papers, Alajami’s work is shaping the future of automated retail, warehouse logistics, and robotic simulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A ROS Gazebo Plugin Design to Simulate RFID Systems7 citations · 2022
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- 6Design of an Energy-Efficient Self-Heterogeneous Aerial-Ground Vehicle2 citations · 2023
- 7Simulation of RFID Systems in ROS-Gazebo2 citations · 2022