Papers
2
Total Citations
35
H-Index
2
About
Zhimin Lv is a leading researcher in agricultural robotics and intelligent control systems, whose work bridges the critical gap between autonomous navigation and precision manipulation in complex field environments. His most impactful contribution, the 2020 paper "An Adaptive Vision Navigation Algorithm in Agricultural IoT System for Smart Agricultural Robots" (32 citations), introduces a groundbreaking binocular vision-based navigation system that enables agricultural robots to achieve both flexibility and adaptability in dynamic, unstructured farm settings—a fundamental challenge in modern precision agriculture. Lv further advances robotic manipulation through his work on "Simulation of grasping attitude control of robotic arm based on synovial error feedback" (3 citations), where he develops a novel synovial error feedback method that integrates multi-sensor fusion to stabilize robotic arm attitude during grasping operations. His research uniquely combines agricultural IoT architectures with adaptive vision algorithms, directly addressing the need for smarter, more autonomous farming solutions. By enabling robots to navigate and manipulate objects with greater reliability, Lv's work contributes to the broader vision of sustainable, technology-driven agriculture. His publications serve as essential references for researchers developing next-generation agricultural robots capable of operating in real-world, unpredictable environments.
Research Focus
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