Mohd Mawardi Saari
Papers
1
Total Citations
2
H-Index
1
About
Mohd Mawardi Saari is a researcher specializing in mobile robotics and autonomous navigation, with a particular focus on path planning algorithms. His most-cited work, "Analysis of Mobile Robot Path Planning with Artificial Potential Fields" (2019), examines the use of artificial potential fields—a method that treats obstacles as repulsive forces and goals as attractive forces—to enable efficient and collision-free robot movement. This contribution addresses key challenges in real-time navigation, such as local minima and oscillation, offering insights that support the development of safer and more reliable autonomous systems. While his citation count is currently modest, his research lays foundational groundwork for advancing mobile robot intelligence, with potential applications in industrial automation, service robotics, and autonomous vehicles. Saari’s work is particularly valuable for students and researchers exploring practical path planning techniques, as it bridges theoretical concepts with real-world implementation challenges.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Mobile Robot Path Planning with Artificial Potential Fields2 citations · 2019