Wentao Shi

Chengdu University of Information Technology

Papers

Total Citations

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About

Wentao Shi is a researcher focused on advancing autonomous navigation through visual Simultaneous Localization and Mapping (SLAM) technology, particularly optimized for embedded GPU platforms. His work addresses one of the most challenging problems in robotics: enabling robots to autonomously estimate their position while incrementally constructing maps of unknown environments in real time. Shi’s key contributions include developing efficient visual SLAM algorithms tailored for resource-constrained embedded systems, bridging the gap between high-performance computer vision and practical, low-power robotic hardware. His most cited paper, "Research on the Application of Visual SLAM in Embedded GPU" (2021), has garnered 10 citations, demonstrating its relevance to the field. Through this research, Shi has helped make autonomous positioning more accessible for automatic navigation robots, with potential applications in drones, service robots, and autonomous vehicles. His work underscores the importance of balancing computational efficiency with accuracy, offering practical solutions for deploying SLAM in real-world, embedded environments.