Jing Nie

Papers

Total Citations

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About

Jing Nie is a robotics and precision agriculture researcher whose work focuses on the development of autonomous navigation systems for agricultural robots, with a particular emphasis on orchard environments. Operating at the intersection of robotics, artificial intelligence, and smart farming, Nie has made significant contributions to solving one of agriculture's most challenging problems: enabling robots to navigate efficiently through dense, complex orchard settings. Nie's most influential work, "Robot Path Planning Navigation for Dense Planting Red Jujube Orchards Based on the Joint Improved A* and DWA Algorithms under Laser SLAM" (2022), has garnered 50 citations and proposes an innovative hybrid path planning method tailored for the uniquely demanding conditions of densely planted jujube orchards in southern Xinjiang. By combining improved A* and Dynamic Window Approach (DWA) algorithms with Laser SLAM technology, Nie addressed critical precision navigation challenges that conventional methods struggled to resolve. Building on this foundation, Nie's 2025 study advances fully autonomous spraying robot navigation by integrating LiDAR SLAM with IMU systems, further demonstrating a sustained commitment to practical, deployable agricultural robotics. Nie's research holds meaningful implications for modernizing labor-intensive orchard management and advancing precision agriculture in specialized crop environments.