Bair Robot Pushing
Others
Robot
|...
许可协议: Unknown

Overview

This data set contains roughly 44,000 examples of robot pushing motions, including one training set (train) and two test sets of previously seen (testseen) and unseen (testnovel) objects. This is the small 64x64 version.

Citation:

@article{ebert2017self,
  title={Self-supervised visual planning with temporal skip connections},
  author={Ebert, Frederik and Finn, Chelsea and Lee, Alex X and Levine, Sergey},
  journal={arXiv preprint arXiv:1710.05268},
  year={2017}
}
数据概要
数据格式
Video,
数据量
--
文件大小
30.06GB
发布方
(BAIR)Berkeley Artificial Intelligence Research
The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics. BAIR includes over 30 faculty and more than 200 graduate students and postdoctoral researchers pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.
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