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About

Qianqiu Tan is a leading researcher at the intersection of robotics, computer vision, and smart agriculture, with a focus on enabling autonomous systems to perceive and interact with complex, unstructured environments. Their major contributions center on 3D reconstruction and immersive human-robot interaction for precision farming, as demonstrated in their highly cited review, "Sensors, systems and algorithms of 3D reconstruction for smart agriculture and precision farming: A review" (2024, 84 citations). This work synthesizes cutting-edge sensor technologies and algorithms, providing a foundational roadmap for deploying autonomous robots in agricultural settings. Tan also pioneered the use of Kinect-style depth cameras and virtual reality for three-dimensional mapping and immersive human-robot interfacing in agricultural mobile robots (2024, 8 citations), addressing critical challenges in navigation and task execution within greenhouses and farmlands. Additionally, their work "NBMOD: Find It and Grasp It in Noisy Background" (2023, 3 citations) tackles the fundamental robotic challenge of stable grasping in cluttered, noisy environments, advancing object detection and manipulation. Through these contributions, Tan is shaping the future of autonomous agriculture, making robots more perceptive, interactive, and reliable in real-world conditions.