Zhenhuan Long

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About

Zhenhuan Long is a leading researcher in robotics and intelligent systems, with a primary focus on integrated positioning and navigation technologies for autonomous mobile robots in complex environments. His most-cited work, "Integrated Indoor Positioning System of Greenhouse Robot Based on UWB/IMU/ODOM/LIDAR" (2022, 42 citations), addresses a critical challenge in agricultural robotics: the failure of conventional LIDAR-based navigation under uneven greenhouse terrain. Long pioneered a multi-sensor fusion approach combining Ultra-Wideband (UWB), Inertial Measurement Units (IMU), odometry (ODOM), and LIDAR to mitigate cumulative errors from wheel slip, enabling reliable robot positioning in demanding agricultural settings. This contribution has significant implications for precision agriculture, enhancing the autonomy and robustness of greenhouse robots. Long’s research exemplifies the practical application of sensor fusion to solve real-world problems, bridging the gap between theoretical robotics and field deployment. His work continues to influence the development of resilient navigation systems for unstructured environments, making him a notable figure in the advancement of intelligent agricultural robotics.