Loubna Bouhalassa
Papers
1
Total Citations
6
H-Index
1
About
Loubna Bouhalassa is a researcher whose work lies at the intersection of robotics, soft computing, and advanced control systems. Her most cited paper, "Path Planning of the Manipulator Arm FANUC Based on Soft Computing Techniques" (2020), demonstrates her expertise in developing intelligent solutions for industrial automation. In this work, she developed direct and inverse geometric models for a 6-degree-of-freedom manipulator arm using the Denavit-Hartenberg formalism, and proposed a novel path planning method leveraging soft computing techniques to optimize robotic motion. With 6 citations, this foundational contribution highlights her ability to bridge theoretical modeling with practical robotic applications. Bouhalassa’s research is particularly valuable for students and engineers seeking to understand how computational intelligence can enhance the efficiency and accuracy of manipulator arms in manufacturing and automation. Her work underscores the growing importance of soft computing in solving complex robotic challenges, making her a notable figure in the field of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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