Papers
4
Total Citations
161
H-Index
3
About
Zhiming Xie is a leading researcher in agricultural robotics and computer vision, with a primary focus on intelligent fruit harvesting systems. His work centers on developing advanced visual perception algorithms that enable robots to detect and interact with citrus fruits in complex, natural environments. Xie’s most impactful contribution is the application of deep convolutional neural networks and visual saliency maps for green citrus detection, a notoriously difficult task due to the color similarity between fruit and foliage. His 2022 paper on this topic has garnered 97 citations, while a related 2021 study on green citrus detection has been cited 52 times, underscoring their significance in advancing robotic harvesting. Beyond fruit detection, Xie has explored harvesting sequence planning, introducing a novel cognition framework inspired by human visual attention to optimize picking robot efficiency. He has also contributed to human-robot interaction research, co-creating a multi-sensor dataset of bimanual object handovers, which supports the development of more natural robotic manipulation. Through these achievements, Xie is shaping the future of precision agriculture and intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 3Dataset of bimanual human-to-human object handovers10 citations · 2023
- 4