Meilin Kang
Papers
4
Total Citations
123
H-Index
4
About
Dr. Meilin Kang is a leading researcher in agricultural robotics and autonomous manipulation, specializing in real-time perception and motion planning for robots operating in unstructured environments. Her work bridges computer vision and robotic control, with a focus on enabling harvesting robots to navigate complex, natural settings. Dr. Kang’s most impactful contribution is a Rapidly-exploring Random Tree (RRT) based path planning scheme for multi-DOF robots, which has garnered 50 citations and provides a robust solution for collision-free navigation in unpredictable terrain. She also developed U2ESPNet, a lightweight convolutional neural network for real-time semantic segmentation of branches, achieving high accuracy with minimal computational cost (22 citations). Her earlier work on branch detection and reconstruction using CNNs and image segmentation (43 citations) has been instrumental in automating fruit harvesting. Additionally, her division-merge inverse kinematics method for humanoid robots (8 citations) enhances dexterous manipulation in unstructured settings. Dr. Kang’s research is pivotal for advancing precision agriculture and autonomous robotics, offering scalable, efficient solutions that directly impact food production and robotic autonomy.
Research Focus
Key Achievements
Top Papers
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