biola

  • Keterangan :

Robot Franka berinteraksi dengan tugas dapur bergaya

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
@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}
}