dlr_edan_shared_control_converted_externally_to_rlds

• Keterangan :

kursi roda dengan lengan melakukan tugas pengambilan rak

• Beranda : https://ieeexplore.ieee.org/document/9341156

• 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},
}