Hani K. Al-Mohair
Papers
1
Total Citations
5
H-Index
1
About
Hani K. Al-Mohair is a leading researcher in robotics and computer vision, with a primary focus on real-time autonomous navigation and obstacle avoidance for mobile robots. His most cited work, "Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control" (2025), introduces an innovative approach that combines efficient monocular depth estimation with behavior-driven control algorithms, enabling robots to navigate complex environments without heavy computational demands. This contribution is particularly significant for resource-constrained platforms, bridging the gap between advanced perception and practical deployment. With 5 citations in a short period, his work is gaining traction for its potential to enhance safety and autonomy in robotics applications. Al-Mohair’s research addresses critical challenges in vision-based systems, emphasizing real-time performance and robustness. His achievements underscore a commitment to developing accessible, high-impact solutions for mobile robotics, making him a notable figure in the field.
Research Focus
Key Achievements
Top Papers
- 1