Ahmad Azmin

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About

Ahmad Azmin is a leading researcher in the field of robotics and autonomous systems, with a primary focus on the navigation and operational efficiency of Automated Guided Vehicles (AGVs). His work addresses critical challenges in dynamic industrial and transportation environments, where AGVs must adapt to changing surroundings in real time. Azmin’s most cited paper, "A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding" (2023, 55 citations), provides a comprehensive synthesis of navigation techniques, evaluating decision-making algorithms and sensor integration for safe and efficient path planning. This survey has become a foundational resource for researchers and engineers seeking to enhance AGV autonomy. Beyond this, Azmin’s contributions extend to developing robust control systems that improve AGV reliability in complex settings. His research is highly influential, with citations reflecting its practical impact on logistics, manufacturing, and smart transportation. Azmin is recognized for bridging theoretical advances with real-world applications, making him a key figure in advancing autonomous vehicle technology. His work continues to inspire new approaches to robot navigation, positioning him as a vital contributor to the future of intelligent automation.