- Keterangan :
Robot Franka berinteraksi dengan tugas dapur bergaya
Beranda : https://ut-austin-rpl.github.io/VIOLA/
Kode sumber :
tfds.robotics.rtx.Viola
Versi :
-
0.1.0
(default): Rilis awal.
-
Ukuran unduhan :
Unknown size
Ukuran kumpulan data :
10.40 GiB
Cache otomatis ( dokumentasi ): Tidak
Perpecahan :
Membelah | Contoh |
---|---|
'test' | 15 |
'train' | 135 |
- Struktur fitur :
FeaturesDict({
'steps': Dataset({
'action': FeaturesDict({
'gripper_closedness_action': float32,
'rotation_delta': Tensor(shape=(3,), dtype=float32),
'terminate_episode': float32,
'world_vector': Tensor(shape=(3,), dtype=float32),
}),
'is_first': bool,
'is_last': bool,
'is_terminal': bool,
'observation': FeaturesDict({
'agentview_rgb': Image(shape=(224, 224, 3), dtype=uint8, description=RGB captured by workspace camera),
'ee_states': Tensor(shape=(16,), dtype=float32, description=Pose of the end effector specified as a homogenous matrix.),
'eye_in_hand_rgb': Image(shape=(224, 224, 3), dtype=uint8, description=RGB captured by in hand camera),
'gripper_states': Tensor(shape=(1,), dtype=float32, description=gripper_states = 0 means the gripper is fully closed. The value represents the gripper width of Franka Panda Gripper.),
'joint_states': Tensor(shape=(7,), dtype=float32, description=joint values),
'natural_language_embedding': Tensor(shape=(512,), dtype=float32),
'natural_language_instruction': string,
}),
'reward': Scalar(shape=(), dtype=float32),
}),
})
- Dokumentasi fitur :
Fitur | Kelas | Membentuk | Tipe D | Keterangan |
---|---|---|---|---|
FiturDict | ||||
tangga | Kumpulan data | |||
langkah/tindakan | FiturDict | |||
langkah/tindakan/gripper_closedness_action | Tensor | float32 | ||
langkah/tindakan/rotasi_delta | Tensor | (3,) | float32 | |
langkah/tindakan/terminate_episode | Tensor | float32 | ||
langkah/tindakan/world_vector | Tensor | (3,) | float32 | |
langkah/adalah_pertama | Tensor | bodoh | ||
langkah/adalah_terakhir | Tensor | bodoh | ||
langkah/is_terminal | Tensor | bodoh | ||
langkah/pengamatan | FiturDict | |||
langkah/pengamatan/agentview_rgb | Gambar | (224, 224, 3) | uint8 | RGB ditangkap oleh kamera ruang kerja |
langkah/pengamatan/ee_states | Tensor | (16,) | float32 | Pose efektor akhir ditentukan sebagai matriks homogen. |
langkah/pengamatan/eye_in_hand_rgb | Gambar | (224, 224, 3) | uint8 | RGB ditangkap dengan kamera di tangan |
langkah/pengamatan/gripper_states | Tensor | (1,) | float32 | gripper_states = 0 berarti gripper tertutup sepenuhnya. Nilai tersebut mewakili lebar gripper Franka Panda Gripper. |
langkah/pengamatan/joint_states | Tensor | (7,) | float32 | nilai-nilai bersama |
langkah/pengamatan/penyematan_bahasa_alami | Tensor | (512,) | float32 | |
langkah/pengamatan/instruksi_bahasa_alami | Tensor | rangkaian | ||
langkah/hadiah | Skalar | float32 |
Kunci yang diawasi (Lihat dokumen
as_supervised
):None
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ): Tidak ada.
Kutipan :
@article{zhu2022viola,
title={VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors},
author={Zhu, Yifeng and Joshi, Abhishek and Stone, Peter and Zhu, Yuke},
journal={6th Annual Conference on Robot Learning (CoRL)},
year={2022}
}