Nguyen Truong Thanh

Papers

Total Citations

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About

Nguyen Truong Thanh is a researcher in robotics and automation, with a primary focus on mobile robot navigation and control systems. His most cited work, "Dynamic path planning for a mobile robot using image processing" (2012), has garnered 3 citations, demonstrating his early contributions to integrating computer vision techniques with real-time robotic motion planning. This research addresses the critical challenge of enabling autonomous robots to adapt to dynamic environments by leveraging image processing algorithms for obstacle detection and route optimization. While his citation count remains modest, Thanh's work represents a foundational step in combining low-cost visual sensors with adaptive path planning, a niche area with potential applications in warehouse logistics and service robotics. His approach emphasizes practical, computationally efficient solutions for resource-constrained platforms, distinguishing his contributions from more computationally intensive methods. Thanh's research trajectory highlights the ongoing need for robust, vision-based navigation in unstructured settings, and his work continues to inform subsequent studies in embedded robotics and real-time control systems.