Lutao Wang

Chengdu University of Information Technology

Papers

Total Citations

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About

Lutao Wang is a researcher focused on advancing autonomous navigation and perception in robotics, with a particular emphasis on visual simultaneous localization and mapping (SLAM) systems. His work addresses one of the most challenging problems in robotics: enabling machines to autonomously localize and map unknown environments in real time. Wang’s key contributions center on the deployment of visual SLAM algorithms on embedded GPUs, significantly improving computational efficiency and portability for mobile robots. His 2021 paper, "Research on the Application of Visual SLAM in Embedded GPU," has garnered 10 citations, reflecting its impact on practical SLAM implementations. By optimizing SLAM for resource-constrained hardware, Wang has helped bridge the gap between theoretical algorithms and real-world robotic applications, such as automated navigation. His research is particularly valuable for students and engineers working on low-cost, high-performance robotic systems. Wang’s work continues to influence the development of robust, real-time positioning solutions, making him a notable contributor to the fields of computer vision, embedded systems, and autonomous robotics.