Kamel Abdous

École Nationale Supérieure d'Informatique

Papers

Total Citations

H-Index

About

Kamel Abdous is a robotics researcher whose work centers on integrating sensor technologies into autonomous navigation systems. His primary research area focuses on the fusion of Radio Frequency Identification (RFID) with hardware-in-the-loop (HIL) simulation for mobile robotics. In his most-cited work, "Hardware in The Loop Simulation for robot Navigation with RFID" (2022), Abdous proposed a novel software architecture that enables the seamless integration of passive RFID sensors—comprising antennas, readers, and memory-storing tags—into the motion planning strategies of simulated robots. This contribution addresses a critical gap in bridging virtual simulation with real-world sensor constraints, allowing for more robust and realistic navigation testing. While his citation count is still emerging, his work has foundational significance for researchers developing low-cost, scalable solutions for indoor robot localization. By demonstrating how passive RFID tags can be effectively used in HIL frameworks, Abdous has laid important groundwork for future advances in warehouse automation, assistive robotics, and smart environment navigation. His research stands as a practical step toward making autonomous systems more reliable through sensor-rich simulation environments.