bc_z

• Description:

Teleoped Google robot doing mostly pick-place from a table

• Homepage: https://www.kaggle.com/datasets/google/bc-z-robot/discussion/309201

• Source code: tfds.robotics.rtx.BcZ

• Versions:

  • 0.1.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: 81.15 GiB

• Auto-cached (documentation): No

• Splits:

• Feature structure:

FeaturesDict({
    'steps': Dataset({
        'action': FeaturesDict({
            'future/axis_angle_residual': Tensor(shape=(30,), dtype=float32, description=The next 10 actions for the rotation. Each action is a 3D delta to add to the current axis angle.),
            'future/target_close': Tensor(shape=(10,), dtype=int64, description=The next 10 actions for the gripper. Each action is the value the gripper closure should be changed to (notably it is *not* a delta.)),
            'future/xyz_residual': Tensor(shape=(30,), dtype=float32, description=The next 10 actions for the positions. Each action is a 3D delta to add to current position.),
        }),
        'is_first': bool,
        'is_last': bool,
        'is_terminal': bool,
        'observation': FeaturesDict({
            'episode_success': float32,
            'image': Image(shape=(171, 213, 3), dtype=uint8, description=Camera image of the robot, downsampled 3x),
            'natural_language_embedding': Tensor(shape=(512,), dtype=float32, description=An embedding of the task via Universal Sentence Encoder (https://tfhub.dev/google/universal-sentence-encoder/4)),
            'natural_language_instruction': string,
            'present/autonomous': int64,
            'present/axis_angle': Tensor(shape=(3,), dtype=float32, description=The current rotation of the end effector in axis-angle representation.),
            'present/intervention': int64,
            'present/sensed_close': Tensor(shape=(1,), dtype=float32, description=How much the gripper is currently closed. Scaled from 0 to 1, but not all values from 0 to 1 are reachable. The range in the data is about 0.2 to 1),
            'present/xyz': Tensor(shape=(3,), dtype=float32, description=The current position of the end effector in axis-angle representation, in robot frame),
            'sequence_length': int64,
        }),
        'reward': Scalar(shape=(), dtype=float32),
    }),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@inproceedings{jang2021bc,
title={ {BC}-Z: Zero-Shot Task Generalization with Robotic Imitation Learning},
author={Eric Jang and Alex Irpan and Mohi Khansari and Daniel Kappler and Frederik Ebert and Corey Lynch and Sergey Levine and Chelsea Finn},
booktitle={5th Annual Conference on Robot Learning},
year={2021},
url={https://openreview.net/forum?id=8kbp23tSGYv} }