Elham Gholami
Papers
1
Total Citations
10
H-Index
1
About
Elham Gholami is a researcher whose work bridges robotics, computer vision, and intelligent navigation systems. Her key research areas include mobile robot path planning, image processing, and the application of Voronoi diagrams to autonomous navigation. Her most cited work, "Webcam-based mobile robot path planning using Voronoi diagrams and image processing" (2010, 10 citations), introduces a novel method that uses a standard webcam to capture the environment and then applies image processing techniques to generate a Voronoi diagram, enabling a mobile robot to compute the shortest, obstacle-free path to its target. This contribution is notable for its practical, low-cost approach to autonomous navigation, making advanced robotics more accessible. Gholami’s work demonstrates a clear impact in the field of mobile robotics, offering a foundation for further research in vision-based path planning. Her achievements highlight a commitment to developing efficient, real-world solutions for robotic systems, and her research continues to inspire students and engineers interested in the intersection of computer vision and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1