Mohd Khalid Awang
Papers
1
Total Citations
2
H-Index
1
About
Mohd Khalid Awang is a robotics researcher whose work centers on autonomous navigation and path planning for indoor environments. His key contributions lie in developing efficient grid-based algorithms that enable robots to traverse complex indoor spaces with precision. His most cited work, "Indoor Global Path Planning Based on Critical Cells Using Dijkstra Algorithm" (2015), introduces a novel approach that discretizes floor plans into equal-sized square grids and applies Dijkstra's algorithm to compute optimal routes. By focusing on critical cells—key waypoints that simplify the search space—Awang's method reduces computational overhead while maintaining path accuracy, a practical advancement for real-time robotics applications. Though his citation count is modest, his research addresses foundational challenges in mobile robot navigation, offering a scalable solution for automated systems in warehouses, hospitals, and smart homes. Awang's work exemplifies the intersection of algorithmic efficiency and real-world deployment, making him a notable contributor to the field of indoor robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1