Rassoul Keshvari Shirvan
Papers
1
Total Citations
8
H-Index
1
About
Rassoul Keshvari Shirvan is a researcher whose work bridges robotics, computer vision, and intelligent sensing systems. His most cited contribution, "Robot path obstacle locator using webcam and laser emitter" (2010, 8 citations), introduces an innovative, low-cost method for distance measurement that enables robots to navigate and avoid obstacles in real time. By capturing workspace images with a webcam and employing a laser emitter, Shirvan’s approach calculates obstacle proximity, allowing robots to traverse efficiently toward target locations. This work demonstrates a practical fusion of simple hardware and algorithmic design, offering an accessible solution for autonomous navigation in constrained environments. While his citation count reflects focused impact, the paper’s emphasis on affordability and real-world applicability underscores his commitment to developing scalable robotic systems. Shirvan’s research contributes to the broader fields of mobile robotics, sensor integration, and path planning, providing a foundation for further exploration in obstacle detection and avoidance. His work is particularly valuable for students and engineers seeking cost-effective methods to enhance robot autonomy in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1Robot path obstacle locator using webcam and laser emitter8 citations · 2010