Reem Hamdan KHaddour
Papers
1
Total Citations
5
H-Index
1
About
Dr. Reem Hamdan KHaddour is a rising researcher at the intersection of computer vision and autonomous robotics, with a focused expertise in real-time perception and control systems for mobile robots. Her most cited work, "Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control" (2025), has already garnered 5 citations—a strong early impact indicator for a recent publication. In this paper, she pioneers a novel approach that combines efficient monocular depth estimation with behavior-driven control, enabling robots to navigate dynamic environments without expensive sensor arrays. This contribution addresses a critical bottleneck in field robotics: achieving reliable obstacle avoidance on computationally constrained platforms. Dr. KHaddour’s work is notable for its practical emphasis on lightweight algorithms, making advanced vision-based navigation accessible for low-cost robots and drones. Her research promises to advance autonomous systems in applications from warehouse logistics to search-and-rescue operations. As an emerging scholar, she is establishing herself as a key voice in the push toward more efficient, vision-centric robotic intelligence.
Research Focus
Key Achievements
Top Papers
- 1