Nannan Sun

Papers

Total Citations

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About

Nannan Sun is a leading researcher in mobile robotics and autonomous navigation, with a focus on integrating perception and mapping for intelligent systems. Their most cited work, "Target localization in local dense mapping using RGBD SLAM and object detection" (2021, 35 citations), addresses a critical challenge in robotics: enabling robots to locate objects in unknown environments. Sun’s key contribution lies in fusing RGBD SLAM with object detection to create dense, readable maps that enhance robot-environment interaction, overcoming the limitations of traditional SLAM’s poor interpretability. This work has been influential in advancing real-time localization and mapping for autonomous systems, with applications in service robotics and exploration. Sun’s research bridges computer vision and robotics, demonstrating how semantic understanding can be layered onto geometric maps to improve navigation and task execution. Their achievements highlight a commitment to making robots more adaptive and context-aware in unstructured settings, with potential impacts on industrial automation and assistive technologies. Sun continues to push the boundaries of intelligent perception, earning recognition among peers for their innovative approach to solving real-world robotic challenges.