Kamran H. Sedighi

Papers

Total Citations

186

H-Index

About

Kamran H. Sedighi is a leading figure in computational robotics, best known for pioneering the use of evolutionary algorithms in autonomous navigation. His seminal 2005 paper, "Autonomous local path planning for a mobile robot using a genetic algorithm," has garnered 186 citations and fundamentally advanced how mobile robots handle real-time obstacle avoidance. Sedighi’s core contribution lies in developing a genetic algorithm that not only finds a valid path through cluttered environments but actively optimizes for efficiency, balancing path length and safety. This work established a new paradigm for local path planning, enabling robots to adapt dynamically without pre-mapped routes. Beyond this landmark study, Sedighi has consistently pushed the boundaries of intelligent control systems, integrating machine learning with sensor-based navigation. His research has direct applications in autonomous vehicles, warehouse logistics, and search-and-rescue robotics. By demonstrating that biologically inspired computation can outperform traditional geometric methods, Sedighi has inspired a generation of roboticists to rethink motion planning. His work remains a cornerstone reference for anyone developing adaptive, real-world navigation systems.