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This website summarises the papers discussed in our paper Robotic Perception of Transparent Objects: A Review. The following video shows the definition of transparent, translucent and opaque objects.
First, you can select the Platforms (simulators or physical sensors) for your individual research tasks. Then you can find the references by navigating the main topics Segmentation / Reconstruction / Pose Estimation. For each of them, we provide meaningful tags including datasets and state-of-the-art methods. We also provide insightful thinking about current Challenges and Open Problems for transparent object perception. The structure of this paper is shown as follows:
We will frequently update the website. Feel free to contact us if you have any questions or comments.
Updates:
20th April 2023: Add one RAL paper on 6D pose estimation and one TCSVT paper on transparent object detection to our website.
4th June 2023: I will add several ICRA2023 papers on transparent object perception to this website.
Citation
Citation
If you use our paper or this online platform in your research, we would be happy if you cite us:
@article{jiang2023robotic,
title={Robotic Perception of Transparent Objects: A Review},
author={Jiang, Jiaqi and Cao, Guanqun and Deng, Jiankang and Do, Thanh-Toan and Luo, Shan},
journal={arXiv preprint arXiv:2304.00157},
year={2023}
}
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