Hamed Esfandiari
Papers
1
Total Citations
2
H-Index
1
About
Hamed Esfandiari is a robotics researcher whose work focuses on sensor-based navigation and obstacle avoidance for mobile robots. His most-cited paper, "Laser-Pointer Rangefinder between Mobile Robot and Obstacles via Webcam Based" (2010), introduces a cost-effective method for distance measurement using a laser pointer and a standard webcam. By capturing images of the environment and processing them to detect the laser spot, Esfandiari’s approach enables robots to calculate distances to obstacles and navigate toward target locations while avoiding collisions. This work, cited 2 times, demonstrates an early contribution to low-cost, vision-based sensing in robotics. Esfandiari’s research is particularly relevant for students and engineers interested in accessible robotic navigation systems, as it combines basic hardware with image processing techniques to solve practical challenges in autonomous movement. His work highlights the potential of using everyday components—like webcams and laser pointers—to create functional rangefinders, making robotic technology more affordable and widely applicable. While his citation count is modest, his paper serves as a foundational example of integrating simple sensors into robotic platforms for real-world obstacle avoidance tasks.
Research Focus
Key Achievements
Top Papers
- 1