galbenecho2026
Echo Foundry — VLA Dataset
10,133 episodes (60 hours) of physics-verified UR5e robot manipulation with reasoning annotations, ground-truth object poses, metric depth, and rejected planner alternatives for every frame.
Downloads5K
Episodes10133
Hours59.9485
Likes2
Why This Matters for Physical AI
This dataset provides the first large-scale corpus of robot manipulation with explicit reasoning traces, rejection margins, and ground-truth world state, enabling training of embodied VLMs that can explain and learn from both successes and failures in a sim-to-real transferable format.
Technical Profile
- Modalities
- rgbdepthproprioceptionlanguageforce_torque
- Robot Embodiments
- UR5e
- Action Space
- 7-DoF: q0, q1, q2, q3, q4, q5, gripper
- Environment
- labsimulation
- Task Types
- manipulationpick_and_placestackinggrasping
- Episodes
- 10133
- Total Hours
- 59.9485
- Data Format
- LeRobot
- Annotation Types
- language_instructionsreward_labelsaction_labelsbounding_boxessegmentation
Access
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