- Keterangan :
kursi roda dengan lengan melakukan tugas pengambilan rak
Kode sumber :
tfds.robotics.rtx.DlrEdanSharedControlConvertedExternallyToRlds
Versi :
-
0.1.0
(default): Rilis awal.
-
Ukuran unduhan :
Unknown size
Ukuran kumpulan data :
3.09 GiB
Cache otomatis ( dokumentasi ): Tidak
Perpecahan :
Membelah | Contoh |
---|---|
'train' | 104 |
- Struktur fitur :
FeaturesDict({
'episode_metadata': FeaturesDict({
'file_path': Text(shape=(), dtype=string),
}),
'steps': Dataset({
'action': Tensor(shape=(7,), dtype=float32, description=Robot action, consists of [3x robot EEF position, 3x robot EEF orientation yaw/pitch/roll calculated with scipy Rotation.as_euler(="zxy") Class].),
'discount': Scalar(shape=(), dtype=float32, description=Discount if provided, default to 1.),
'is_first': bool,
'is_last': bool,
'is_terminal': bool,
'language_embedding': Tensor(shape=(512,), dtype=float32, description=Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5),
'language_instruction': Text(shape=(), dtype=string),
'observation': FeaturesDict({
'image': Image(shape=(360, 640, 3), dtype=uint8, description=Main camera RGB observation.),
'state': Tensor(shape=(7,), dtype=float32, description=Robot state, consists of [3x robot EEF position, 3x robot EEF orientation yaw/pitch/roll calculated with scipy Rotation.as_euler(="zxy") Class].),
}),
'reward': Scalar(shape=(), dtype=float32, description=Reward if provided, 1 on final step for demos.),
}),
})
- Dokumentasi fitur :
Fitur | Kelas | Membentuk | Tipe D | Keterangan |
---|---|---|---|---|
FiturDict | ||||
episode_metadata | FiturDict | |||
episode_metadata/file_path | Teks | rangkaian | Jalur ke file data asli. | |
tangga | Kumpulan data | |||
langkah/tindakan | Tensor | (7,) | float32 | Aksi robot, terdiri dari [3x posisi EEF robot, 3x orientasi EEF robot yaw/pitch/roll dihitung dengan kelas scipy Rotation.as_euler(="zxy")]. |
langkah/diskon | Skalar | float32 | Diskon jika disediakan, defaultnya adalah 1. | |
langkah/adalah_pertama | Tensor | bodoh | ||
langkah/adalah_terakhir | Tensor | bodoh | ||
langkah/is_terminal | Tensor | bodoh | ||
langkah/bahasa_embedding | Tensor | (512,) | float32 | Penyematan bahasa Kona. Lihat https://tfhub.dev/google/universal-sentence-encoder-large/5 |
langkah/bahasa_instruksi | Teks | rangkaian | Tuang ke dalam cangkir. | |
langkah/pengamatan | FiturDict | |||
langkah/pengamatan/gambar | Gambar | (360, 640, 3) | uint8 | Pengamatan RGB kamera utama. |
langkah/pengamatan/keadaan | Tensor | (7,) | float32 | Status robot, terdiri dari [3x posisi EEF robot, 3x orientasi EEF robot yaw/pitch/roll dihitung dengan kelas scipy Rotation.as_euler(="zxy")]. |
langkah/hadiah | Skalar | float32 | Hadiah jika diberikan, 1 pada langkah terakhir untuk demo. |
Kunci yang diawasi (Lihat dokumen
as_supervised
):None
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ):
- Kutipan :
@inproceedings{vogel_edan_2020,
title = {EDAN - an EMG-Controlled Daily Assistant to Help People with Physical Disabilities},
language = {en},
booktitle = {2020 {IEEE}/{RSJ} {International} {Conference} on {Intelligent} {Robots} and {Systems} ({IROS})},
author = {Vogel, Jörn and Hagengruber, Annette and Iskandar, Maged and Quere, Gabriel and Leipscher, Ulrike and Bustamante, Samuel and Dietrich, Alexander and Hoeppner, Hannes and Leidner, Daniel and Albu-Schäffer, Alin},
year = {2020}
}
@inproceedings{quere_shared_2020,
address = {Paris, France},
title = {Shared {Control} {Templates} for {Assistive} {Robotics} },
language = {en},
booktitle = {2020 {IEEE} {International} {Conference} on {Robotics} and {Automation} ({ICRA})},
author = {Quere, Gabriel and Hagengruber, Annette and Iskandar, Maged and Bustamante, Samuel and Leidner, Daniel and Stulp, Freek and Vogel, Joern},
year = {2020},
pages = {7},
}