openarms-hardware-modifications
OpenArm Hardware Modifications for Cloth Folding
Source notes
OpenArm Hardware Modifications for Cloth Folding
Custom 3D-printable parts used in the Unfolding Robotics project, where we trained a bimanual robot to fold t-shirts with a 90% success rate. These files modify the standard OpenArm.
Files
File Description
J4_5cm_extended.step Extended upper arm (bicep) segment, adds +5 cm of reach to compensate for the lack of a hip/torso in our setup. STEP format for easy modification.
J3-J4_Cover front extended.stl… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/openarms-hardware-modifications.
- Scale
- Not declared
- Formats
- Not declared
- License
- apache-2.0
- Published
- 2026-04-07
- Embodiments
- Not declared
- Modalities
- Not declared
Decision summary
robotics
No verified blocker is published; unresolved facts remain unknown.
Read the dataset manifest and feature schema.
Release history
Source-backed release timing for this canonical dataset record.
- Release evidence
Dataset published
Release timing is recorded from the official source creation date.
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
How scores work80/100
Provisional
1/6 dimensions scored · 22% 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/action alignment has not been established.
World-model readiness
World-model observation, geometry, or temporal semantics are not verified.
Failure and recovery readiness
Failure, success, intervention, or recovery fields are declared; coverage requires sample audit.
Download and processing readiness
Dataset scale and sampling path are unknown.
Review unresolved evidence and next checks
Signal gaps
- Observation / ego video. Not enough evidence is available to classify this signal.
- Action / hand pose / robot state. Not enough evidence is available to classify this signal.
- Gaze / attention. Not enough evidence is available to classify this signal.
- Language intent / task phase. 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.
Engineering checks (OBRS) behind this record
Needs Audit
OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.
- A passing real-hardware test report is required.
- A passing ingestion/pipeline test report is required.
- A passing privacy and provenance review is required.
Dataset facts
- Source
- lerobot
- Evidence
- official claim
- Formats
- Not declared
Loop signals
3/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 5 more signal categories
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownsuccess/failure
presentOpenArm Hardware Modifications for Cloth Folding Custom 3D-printable parts used in the Unfolding Robotics project, where we trained a bimanual robot to fold t-shirts with a 90% success rate. These files modify the standard OpenArm. Files File Description J4_5cm_extended.step Extended upper arm (bicep) segment, adds +5 cm of reach to compensate for the lack of a hip/torso in our setup. STEP format for easy modification. J3-J4_Cover front extended.stl… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/openarms-hardware-modifications.
presentUnknown · apache-2.0
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.
README/card declaration
Integration notes
No integration notes are published.
