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About

Jiwei Qu is an emerging researcher specializing in agricultural robotics, autonomous navigation, and intelligent control systems. His work sits at the intersection of precision agriculture and robotics engineering, with a particular focus on developing sophisticated mobile platforms capable of operating in complex, unstructured field environments. Qu's most significant contributions center on advancing LiDAR-based SLAM navigation for agricultural robots. His 2024 paper on map construction and positioning methods for field inspection robots — already garnering 16 citations — addresses the critical challenge of accurate localization in occluded agricultural environments. Complementing this, his 2025 investigation into orchard inspection robots integrates hybrid A*-DWA navigation frameworks within ROS-based systems, pushing the boundaries of autonomous operation in unpredictable terrain. Beyond navigation, Qu has made notable strides in motion control engineering. His 2022 analysis of four-wheel-steering mobile robot motion mode switching (12 citations) demonstrates his commitment to optimizing mechanical performance, while his 2023 fuzzy controller design for steer-by-wire systems reveals a sophisticated grasp of intelligent control methodologies for in-wheel motor-drive platforms. With a growing citation record and a coherent research trajectory bridging robotics, control theory, and agricultural automation, Qu represents a promising voice in the next generation of smart farming technology researchers.