Meysam Rahimi

Papers

Total Citations

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About

Meysam Rahimi is a researcher whose work centers on robotics, control systems, and intelligent path planning, with a particular focus on navigation in dynamic environments. His most-cited paper, "A new path planning and obstacle avoidance algorithm in dynamic environment" (2014, 15 citations), introduces a novel approach that addresses one of the fundamental challenges in robotics: enabling autonomous systems to navigate safely and efficiently when obstacles are moving unpredictably. This contribution is especially relevant for applications in industrial automation, autonomous vehicles, and service robotics, where real-time decision-making is critical. Rahimi’s work bridges theoretical control methods and practical robotic implementation, offering algorithms that balance computational efficiency with robust performance. While his citation count reflects the specialized nature of his research, his contributions have provided a foundation for further studies in adaptive path planning and obstacle avoidance. For students and researchers entering the field of robotics, Rahimi’s work offers a clear example of how algorithmic innovation can directly impact real-world robotic autonomy, making his research a valuable reference for those exploring intelligent navigation systems.