Pirooz Shamsinejad

Papers

Total Citations

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About

Pirooz Shamsinejad is a researcher whose work centers on autonomous mobile robotics, with a particular focus on path planning and optimization. His most-cited contribution, "A new path planner for autonomous mobile robots based on genetic algorithm" (2010, 13 citations), addresses a critical challenge in robotics: enabling robots to navigate their environments efficiently and accurately in real time. By applying genetic algorithms, Shamsinejad developed a local path planner that balances speed and precision, offering a novel approach to designing immediate, high-accuracy routes for autonomous systems. This work highlights his expertise in integrating evolutionary computation with robotic navigation, a field essential for advancing applications from warehouse automation to exploratory rovers. While his citation count reflects a focused, early-career impact, his research contributes to foundational methods that influence subsequent studies in adaptive and intelligent robot movement. Shamsinejad’s work underscores the importance of algorithmic innovation in solving practical engineering problems, making his contributions valuable for students and researchers exploring the intersection of artificial intelligence and robotics.