Behrang Mohajer

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About

Behrang Mohajer is a leading figure in mobile robotics and intelligent control systems, renowned for pioneering novel optimization algorithms for autonomous navigation. His most influential work introduces the **Random Particle Optimization Algorithm (RPOA)** , a bio-inspired method derived from bacterial foraging techniques. This algorithm revolutionized local path planning for mobile robots in dynamic, unknown environments by enabling real-time obstacle avoidance through randomly distributed particles around the robot. With over **28 citations** on this foundational paper alone, Mohajer’s contributions have significantly advanced the field of swarm intelligence and adaptive robotics. His research bridges theoretical optimization with practical robotic applications, offering robust solutions for complex, unpredictable settings. Beyond path planning, Mohajer’s work has implications for autonomous systems, industrial automation, and intelligent transportation. His innovative approach to merging biological inspiration with computational efficiency continues to inspire researchers developing resilient, real-time navigation systems for autonomous vehicles and service robots.