Elviawaty Muisa Zamzami
Papers
1
Total Citations
4
H-Index
1
About
Elviawaty Muisa Zamzami is a researcher whose work bridges robotics, control systems, and artificial intelligence, with a particular focus on enhancing the stability and autonomy of mobile robots. Her most cited paper, "Control of motion stability of the line tracer robot using fuzzy logic and kalman filter" (2018, 4 citations), addresses a fundamental challenge in robotics: maintaining balance and precise movement in two-wheeled line-following robots. By integrating fuzzy logic for decision-making with Kalman filtering for sensor noise reduction, Zamzami developed a control framework that enables robots to remain upright while accurately tracking a path—a critical capability for applications in industrial automation and autonomous navigation. This work contributes to the broader field of motion control, offering a practical solution for stabilizing inherently unstable platforms. Though her citation count is modest, her research demonstrates a thoughtful application of classical control theory and soft computing to real-world robotics problems, laying groundwork for future advancements in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1