Tran Trong Khanh

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About

Dr. Tran Trong Khanh is a leading researcher in cloud-based robotics and indoor positioning systems, whose work bridges the gap between autonomous navigation and real-world assistive technologies. His most-cited paper, "The Practice of Cloud-based Navigation System for Indoor Robot" (2020, 9 citations), addresses the growing demand for location-based services by developing a cloud-integrated framework that enables robots to navigate complex indoor environments with enhanced accuracy and scalability. This system has direct applications in guiding visually impaired individuals and locating patients in healthcare facilities, demonstrating Khanh’s commitment to socially impactful engineering. By leveraging cloud computing to offload processing and improve real-time decision-making, his research contributes to the broader evolution of intelligent, cost-effective robotic assistants. Khanh’s work stands out for its practical orientation, offering a blueprint for deploying reliable indoor navigation without expensive on-board hardware. His contributions are particularly relevant as indoor positioning systems become critical for smart hospitals, automated warehouses, and accessible urban infrastructure. With a focus on innovation that serves vulnerable populations, Tran Trong Khanh continues to shape the future of human-robot interaction in confined spaces.