This is the Linux app named Open X-Embodiment whose latest release can be downloaded as open_x_embodimentsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Open X-Embodiment
DESCRIPTION
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. The dataset aggregates contributions from multiple open-source robotic projects, all harmonized under a single unified data schema. The repository also provides Colab notebooks for dataset visualization, batching, and model inference, along with pretrained model checkpoints such as RT-1-X, a multitask robotic transformer model trained on this data.
Comment ça marche
- Unified RLDS episode format for all open-source robotic datasets
- Integrated Colab demos for visualization, data batching, and model inference
- RT-1-X model checkpoints available in TensorFlow and JAX/Flax
- Standardized action and observation spaces across datasets
- Supports 7-DoF robotic control via task-conditioned policies
- Licensed under Apache 2.0 (software) and CC-BY 4.0 (data) for open research use
Langage de programmation
Python
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/open-x-embodiment.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
