Create README.md
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README.md
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---
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size_categories:
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- 1K<n<10K
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---
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## Dataset Description
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This is a fully annotated, synthetically generated dataset consisting of 1,000 demonstrations of a single Franka Panda robot arm performing a fixed-order three-cube stacking task in Isaac Lab. The robot consistently stacks cubes in the order: blue (bottom) → red (middle) → green (top).
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The dataset was produced using the following pipeline:
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- Collected 10 human teleoperation demonstrations of the stacking task.
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- Used Isaac Lab’s **Mimic** tool to simulate 1,000 high-quality trajectories in Isaac Sim.
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- Applied **Cosmos Transfer1** model to augment the RGB visuals from the table camera with photorealistic domain adaptation.
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Each demonstration includes synchronized multimodal data:
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- RGB videos from both a table-mounted and wrist-mounted camera.
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- Depth, segmentation, and surface normal maps from the table camera.
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- Full low-level robot and object states (joints, end-effector, gripper, cube poses).
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- Action sequences executed by the robot.
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This dataset is ideal for behavior cloning, policy learning, and generalist robotic manipulation research.
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## Intended Usage
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This dataset is intended for:
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- Training robot manipulation policies using behavior cloning.
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- Research in generalist robotics and task-conditioned agents.
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- Sim-to-real transfer studies and visual domain adaptation.
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## Dataset Characterization
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**Data Collection Method**
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* Human Demonstration (seed data)
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* Synthetic Simulation (Isaac Lab Mimic)
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* Visual Augmentation (Cosmos Transfer1)
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10 human teleoperated demonstrations were used to bootstrap a Mimic-based simulation in Isaac Sim. All 1,000 demos are generated automatically followed by domain-randomized visual augmentation.
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## Dataset Format
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Each demo consists of a time-indexed sequence of the following modalities:
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### Actions
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- 7D vector: 6D relative end-effector motion + 1D gripper action
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### Observations
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- `robot_states`: Joint positions, velocities, and gripper open/close state
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- `ee_states`: End-effector 6-DOF pose
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- `cube_states`: 6-DOF poses (position + quaternion) for blue, red, and green cubes
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- `images.table_camera`:
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- 200×200 RGB (visually augmented using Cosmos Transfer1)
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- 200×200 Depth
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- 200×200 Segmentation mask
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- 200×200 Surface normal map
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- `images.wrist_camera`:
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- 200×200 RGB
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