Behrang Parhizkar
Papers
1
Total Citations
2
H-Index
1
About
Behrang Parhizkar is a researcher whose work lies at the intersection of robotics, computer vision, and sensor-based navigation. His early contributions include the development of a laser-pointer rangefinder system that enables mobile robots to measure distances to obstacles using a standard webcam. This method, detailed in his 2010 paper, processes captured images to calculate obstacle proximity, allowing robots to navigate toward targets while avoiding collisions. Though his most-cited paper has garnered 2 citations, it represents a foundational step in low-cost, vision-based obstacle detection for autonomous mobile robots. Parhizkar’s work is notable for its practical, accessible approach—leveraging everyday hardware like laser pointers and webcams to solve complex navigation challenges. His research contributes to the broader fields of robotic perception and image processing, with potential applications in assistive robotics, automated guided vehicles, and educational robotics platforms. For students and researchers exploring cost-effective sensing solutions, Parhizkar’s work offers a clear example of how simple optical tools can be repurposed for intelligent robotic behavior.
Research Focus
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Top Papers
- 1