Ethan-pooh
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README.md
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RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given language instruction and RGB images of up to three views, RDT can predict the next
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64 robot actions. RDT is compatible with almost all modern mobile manipulators, from single-arm to dual-arm, joint to EEF, pos. to vel., and even with a mobile chassis.
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All the [code](https://github.com/
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Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper](https://rdt-robotics.github.io/rdt-robotics/static/paper.pdf) for more information.
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RDT-1B is a 1B-parameter imitation learning Diffusion Transformer pre-trained on 1M+ multi-robot episodes. Given language instruction and RGB images of up to three views, RDT can predict the next
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64 robot actions. RDT is compatible with almost all modern mobile manipulators, from single-arm to dual-arm, joint to EEF, pos. to vel., and even with a mobile chassis.
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All the [code](https://github.com/thu-ml/RoboticsDiffusionTransformer/tree/main?tab=readme-ov-file), pre-trained model weights, and [data](https://github.com/thu-ml/RoboticsDiffusionTransformer) are licensed under the MIT license.
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Please refer to our [project page](https://rdt-robotics.github.io/rdt-robotics/) and [paper](https://rdt-robotics.github.io/rdt-robotics/static/paper.pdf) for more information.
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