DROID
DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (350 hours), collected across 564 scenes and 84 tasks by 50…
Source notes
DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (~350 hours), collected across 564 scenes and 84 tasks by 50 collectors over 12 months in North America, Asia, and Europe (13 institutions). Every episode uses a standardized Franka Panda 7-DoF arm with two exterior ZED 2 stereo cameras and a wrist-mounted ZED Mini, recording RGB/stereo video, depth, joint and Cartesian proprioception, camera calibration, and natural-language annotations (3 per episode for ~95% of successful episodes). It is distributed in RLDS (1.7TB) and raw stereo HD MP4 (8.7TB) formats, with a community LeRobot port, and is included in the OpenVLA training mix.
- Scale
- 350 hours
- Formats
- custom · lerobot
- License
- CC-BY-4.0
- Published
- 2024-03-19
Decision summary
teleoperation
Metadata requires review against the official source before publication.
Read the dataset manifest and feature schema.
Selection readiness
6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.
Catalog evidence · not task performance
77/100
Provisional
4/6 dimensions scored · 48% confidence
Read the evidence behind all 6 dimensions
Access and governance
Access and license are declared by the source.
Schema and signal coverage
No machine-readable schema has been verified yet.
Policy training readiness
Observation and action/state signals are declared; alignment quality still depends on sample verification.
World-model readiness
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
Failure and recovery readiness
No verified failure/recovery annotation evidence is available yet.
Download and processing readiness
Scale is declared; transfer and processing estimates are not measured.
Review unresolved evidence and next checks
Signal gaps
- Gaze / attention. Not enough evidence is available to classify this signal.
- Feedback / correction / failure. Not enough evidence is available to classify this signal.
Next checks
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Dataset facts
- Source
- DROID Collaboration (Stanford, UC Berkeley, et al. — 13 institutions)
- Evidence
- secondary claim
- Formats
- custom · lerobot · rlds
- episodes
- 76000
- hours
- 350
- tasks
- 84
Loop signals
5/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 5 more signal categories
depth · video · DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (~350 hours), collected across 564 scenes and 84 tasks by 50 collectors over 12 months in North America, Asia, and Europe (13 institutions). Every episode uses a standardized Franka Panda 7-DoF arm with two exterior ZED 2 stereo cameras and a wrist-mounted ZED Mini, recording RGB/stereo video, depth, joint and Cartesian proprioception, camera calibration, and natural-language annotations (3 per episode for ~95% of successful episodes). It is distributed in RLDS (1.7TB) and raw stereo HD MP4 (8.7TB) formats, with a community LeRobot port, and is included in the OpenVLA training mix.
presentee_pose · DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (~350 hours), collected across 564 scenes and 84 tasks by 50 collectors over 12 months in North America, Asia, and Europe (13 institutions). Every episode uses a standardized Franka Panda 7-DoF arm with two exterior ZED 2 stereo cameras and a wrist-mounted ZED Mini, recording RGB/stereo video, depth, joint and Cartesian proprioception, camera calibration, and natural-language annotations (3 per episode for ~95% of successful episodes). It is distributed in RLDS (1.7TB) and raw stereo HD MP4 (8.7TB) formats, with a community LeRobot port, and is included in the OpenVLA training mix.
partiallanguage · DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (~350 hours), collected across 564 scenes and 84 tasks by 50 collectors over 12 months in North America, Asia, and Europe (13 institutions). Every episode uses a standardized Franka Panda 7-DoF arm with two exterior ZED 2 stereo cameras and a wrist-mounted ZED Mini, recording RGB/stereo video, depth, joint and Cartesian proprioception, camera calibration, and natural-language annotations (3 per episode for ~95% of successful episodes). It is distributed in RLDS (1.7TB) and raw stereo HD MP4 (8.7TB) formats, with a community LeRobot port, and is included in the OpenVLA training mix.
presentdepth · DROID (Distributed Robot Interaction Dataset) is a large-scale in-the-wild robot manipulation dataset of 76,000 teleoperated demonstration trajectories (~350 hours), collected across 564 scenes and 84 tasks by 50 collectors over 12 months in North America, Asia, and Europe (13 institutions). Every episode uses a standardized Franka Panda 7-DoF arm with two exterior ZED 2 stereo cameras and a wrist-mounted ZED Mini, recording RGB/stereo video, depth, joint and Cartesian proprioception, camera calibration, and natural-language annotations (3 per episode for ~95% of successful episodes). It is distributed in RLDS (1.7TB) and raw stereo HD MP4 (8.7TB) formats, with a community LeRobot port, and is included in the OpenVLA training mix.
presentOpen · CC-BY-4.0 · custom · lerobot
presentEvidence details and provenance
Official signal claims
Schema and annotations
No machine-readable schema facts are captured.
Sample verification
Pending. Metadata does not prove sample coverage, alignment, or file integrity.
curated official source
Integration notes
- Metadata requires review against the official source before publication.