Suriati Akmal

Technical University of Malaysia Malacca

Papers

Total Citations

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About

Suriati Akmal is a leading researcher in intelligent robotics and computer vision, with a primary focus on autonomous navigation systems. Her most-cited work, "Intelligent Vision-based Navigation System for Mobile Robot: A Technological Review" (2018, 22 citations), provides a comprehensive synthesis of how vision systems are revolutionizing mobile robot safety and autonomy across industrial and service sectors. This seminal review identifies and analyzes the critical technological elements—from sensor integration to real-time processing—required for robust, vision-guided navigation. Akmal’s contributions bridge the gap between theoretical computer vision advances and practical robotic applications, offering a roadmap for developing safer, more adaptive autonomous systems. Her work has been instrumental in shaping research directions for intelligent navigation, particularly in environments where traditional sensor-based approaches fall short. With a growing citation footprint, Akmal continues to influence the next generation of roboticists and engineers, demonstrating how vision-based technologies can unlock new capabilities in automation, from warehouse logistics to assistive robotics. Her research remains a cornerstone for anyone exploring the intersection of artificial intelligence, sensing, and mobile robotics.