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12 classes
0fetch_pick_cube
0fetch_pick_cube
1fetch_place
1fetch_place
2fetch_push
2fetch_push
3fetch_reach
3fetch_reach
3fetch_reach
4franka_open_drawer
4franka_open_drawer
4franka_open_drawer
4franka_open_drawer
5franka_pick_cube
5franka_pick_cube
5franka_pick_cube
5franka_pick_cube
6franka_place
6franka_place
6franka_place
7franka_push
7franka_push
7franka_push
8franka_reach
8franka_reach
8franka_reach
8franka_reach
9stretch_pick_cube
9stretch_pick_cube
9stretch_pick_cube
9stretch_pick_cube
9stretch_pick_cube
10stretch_place
10stretch_place
11stretch_reach
11stretch_reach
11stretch_reach

🤖 Robot Zoo

An open-source multi-embodiment robotics dataset for cross-embodiment research. Built with Isaac Lab 0.54.3 + Isaac Sim 5.1.0.

Demo Video

Robot Zoo Demo

▶️ Watch on YouTube | Download MP4

Dataset Summary

Task Franka Stretch Fetch Total
Pick Cube 1000 1058 1000 3058
Open Drawer 1000 - - 1000
Reach 1000 1000 1000 3000
Place Cube 1000 1000 1000 3000
Push 1000 - 1000 2000
Total 5000 3058 4000 13,058

Robots

Robot Type DOF Base
Franka Panda Fixed arm 7 Fixed
Stretch 3 Mobile manipulator 8 Mobile
Fetch Mobile manipulator 7 Mobile

Data Format

Each episode is saved as a .npz file with keys:

  • observation_state — joint positions and velocities
  • observation_cube_pos — object/target position (3D)
  • action — commanded joint targets
  • reward — per-step reward signal

How to Load

from huggingface_hub import snapshot_download
import numpy as np
from pathlib import Path

path = snapshot_download(repo_id="shareef14/robot-zoo", repo_type="dataset")
ep = np.load(Path(path) / "fetch_pick_cube" / "episode_0000.npz")
print(ep["observation_state"].shape)
print(ep["observation_cube_pos"].shape)
print(ep["action"].shape)

GitHub

https://github.com/Shareefbaba/robot-zoo

Author

Shareef Baba Shaik — Robotics Engineer, Hyderabad, India

GitHub · LinkedIn · Portfolio · HuggingFace

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