Khaoula Barhoumi
Papers
1
Total Citations
3
H-Index
1
About
Khaoula Barhoumi’s research centers on embedded systems, mobile robotics, and cost-effective localization technologies. Her most-cited work, “Efficient embedded software implementation of a low cost robot localization system” (2019, 3 citations), tackles a critical challenge in robotics: achieving accurate localization without relying on expensive sensors or computationally heavy methods like Kalman filters. Barhoumi’s contribution lies in demonstrating that reliable robot positioning can be realized through efficient embedded software, making localization accessible for low-cost platforms. This work highlights her broader focus on bridging the gap between theoretical algorithms and practical, resource-constrained implementations. While her citation count is modest, her research addresses a persistent bottleneck in robotics—balancing performance with affordability—which is essential for deploying robots in education, small-scale industry, and developing regions. Barhoumi’s approach underscores the importance of software optimization in embedded systems, offering a blueprint for researchers seeking to democratize robotic technologies. Her work serves as a valuable reference for students and engineers aiming to build functional, low-cost autonomous systems without sacrificing reliability.
Research Focus
Key Achievements
Top Papers
- 1