Datasets/Collaborative Dual-Arm Collection

Collaborative Dual-Arm Collection

900 hours of collaborative dual-arm robot operations for complex manipulation tasks. Optimized for warehouse logistics, bin picking, and sorting operations with depth perception.

RGBDepthcommercialFeatured
Dataset Size
450GB
Episodes5,400
Total Frames324,000
Cameras3
Data Size450GB
FormatLeRobot, HDF5, MCAP

What's Included

5,400 episodes of dual-arm collaboration tasks
324,000 synchronized RGB + Depth frames
3-camera perspectives for spatial understanding
Coordinated dual-arm trajectories
Pick-and-place sequences for various object types
End-effector poses for both arms
Success/failure labels for each episode
Warehouse and logistics scenario annotations

Use Cases

Logistics Automation
Train models for warehouse operations
Bin Picking
Learn robust grasping strategies for cluttered scenes
Dual-Arm Coordination
Master bimanual manipulation patterns
Object Sorting
Develop classification and placement policies
Depth-Based Planning
Utilize 3D perception for obstacle avoidance
Industrial Automation
Deploy in manufacturing and fulfillment centers

Why trust this dataset?

Provenance, QA, and compliance details for the dataset above — what was captured, by whom, on what hardware, under what license, and what we explicitly do not claim.

Collection hardware
3-camera rig at 20 Hz, 640x480 per camera (RGB + Depth). 14-DOF collaborative-dual-arm platform with 6-D end-effector pose tracking.
Operators
Trained SignIQ teleop operators (multi-operator capture per dataset). Sub-20ms teleop latency with haptic feedback.
Environment
3 scenarios: warehouse, logistics, sorting.
Annotation policy
Operator-written task instructions, hindsight VLM captions, reviewed subtask spans. Outcome (success/failure) labeled per episode.
QA checks
12-check automated pipeline before delivery: schema validity, timestamp monotonicity, sync drift (<5 ms), no NaN/Inf, joint-limit compliance, calibration provenance, language presence, outcome label, format export, and more.
Sensor coverage
RGB + depth; JPEG for RGB, PNG for depth.
License
commercial delivery. Custom commercial terms available for redistribution, fine-tuning, and on-prem caching.
Privacy & consent
Operators are SignIQ staff under explicit recording consent. Faces in any incidental human capture are blurred; PII is reviewed before release.
Format validation
LeRobot, HDF5, MCAP. Each export passes a per-format validator (LeRobot info.json, GR00T modality.json, HDF5 schema, MCAP channel coverage) before bundling.
Known limitations
Single facility / lighting profile per dataset. No depth or tactile streams unless explicitly listed. Episode count and scenario coverage are advertised, not extrapolated &mdash; if you need broader coverage, ask about a custom run.