DATASET FACET · TASK
Bimanual manipulation datasets for physical AI
Two-arm tasks that require coordinated movement, handoff, or deformable-object handling.
DIRECT ANSWER
Bimanual manipulation pages collect datasets where this taskis materially relevant, then add truelabel’s commercial use, consent risk, and deployment fit notes so buyers can decide whether public data is enough.
MATCHED DATASETS
7 catalog entries
7 of 7 datasets
Open X-Embodiment
Published May 2026 · custom
A large cross-institution collection of robot demonstrations spanning many embodiments and manipulation tasks.
- Multi-institution robot demonstration corpus; exact per-task scale varies by contributing dataset.
- Commercial use unclear
- Best for: robot foundation model pretraining
ALOHA
Published May 2026 · custom
A low-cost bimanual teleoperation platform and dataset family used for imitation learning in dexterous manipulation.
- Task-specific demonstrations released around the ALOHA platform and follow-on projects.
- Commercial use unclear
- Best for: bimanual imitation learning
RoboMimic
Published May 2026 · mit
A benchmark and dataset framework for robot imitation learning with standardized tasks and evaluation utilities.
- Benchmark datasets and demonstration formats vary by task suite.
- Source appears permissive; verify data terms
- Best for: imitation-learning baselines
RoboSuite
Published May 2026 · mit
A simulation framework and benchmark suite for robot manipulation tasks.
- Simulation tasks and assets for manipulation research.
- Source appears permissive; verify data terms
- Best for: robot manipulation simulation
AgiBot World
Published May 2026 · custom
A large-scale real-world robot manipulation dataset family for fine-grained manipulation, tool use, and multi-robot collaboration.
- Hugging Face organization page describes the Beta release as 1M+ trajectories and 2,976.4 hours across 217 tasks, 87 skills, 3,000+ objects, and 100+ real-world scenarios.
- Commercial use unclear
- Best for: large-scale manipulation pretraining
UMI
Published May 2026 · custom
Universal Manipulation Interface is an in-the-wild human demonstration framework for transferring portable gripper data to robot policies.
- Project materials emphasize portable in-the-wild data collection and fast demonstrations for tasks such as cup manipulation, dish washing, cloth folding, and dynamic tossing.
- Commercial use unclear
- Best for: portable in-the-wild demonstrations
LeRobot datasets
Published May 2026 · custom
A Hugging Face robotics dataset ecosystem and standardized dataset format for multimodal robot learning data.
- LeRobot documentation describes a standardized dataset ecosystem on Hugging Face Hub using Parquet for tabular data and MP4 for video observations.
- Commercial use unclear
- Best for: robotics dataset distribution
BIMANUAL EXPLORER
Bimanual manipulation datasets: robot rigs vs human hand video
Bimanual data is two different things that listings often blur: dual-arm robot data from a teleoperated or autonomous rig, and two-hand human video or instrumented demonstrations. This explorer classifies every current facet row and records platform, arms/hands, mobility, dexterity, teleoperation, interaction role, sensors, episodes/hours, format, and license.
This is public discovery of the seven currently tagged bimanual manipulation datasets, dual-arm datasets, and two-hand manipulation data records. It is not a procurement verdict and does not replace the commercial owner.
Export: JSON
| Dataset / origin | Platform / arms | Mobility / dexterity | Teleoperation / role | Sensors / format | Episodes or hours / license | Evidence |
|---|---|---|---|---|---|---|
| Open X-Embodiment dual-arm robot data | Multi-embodiment robot collection; bimanual subsets vary Mixed robot arms and grippers; subset-level review required | Mixed fixed and mobile platforms Mixed; dataset-specific | Mixed collection methods Robot demonstrations aggregated from contributing datasets | RGB-D, proprioception, and actions vary by subset RLDS/Open X-Embodiment mixtures | Multi-institution robot demonstration corpus; exact per-task scale varies by contributing dataset. custom — verify exact dataset/subset terms | needs-review · medium Claim: lane07-open-x-embodiment-classification · Entity: open-x-embodiment · Field: bimanual class · Unit: categorical · project-robotics-transformer-x-github-io · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| ALOHA dual-arm robot data | ALOHA dual-arm robot Two robot arms with grippers | Fixed-base in the core release Parallel grippers; task-specific | Leader-follower teleoperation Human operator controls a dual-arm robot | RGB-D and robot state streams Task-specific ALOHA demonstrations | Task-specific demonstrations released around the ALOHA platform and follow-on projects. custom — verify exact dataset/subset terms | needs-review · medium Claim: lane07-aloha-classification · Entity: aloha · Field: bimanual class · Unit: categorical · project-tonyzhaozh-github-io-aloha · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| RoboMimic dual-arm robot data | Robot-learning benchmark datasets Single- or dual-arm coverage depends on task suite | Fixed-base or simulation Gripper-based manipulation | Human demonstrations and generated variants by suite Robot trajectory benchmark | Robot state and visual observations vary by release HDF5 benchmark datasets | Benchmark datasets and demonstration formats vary by task suite. mit — verify exact dataset/subset terms | needs-review · medium Claim: lane07-robomimic-classification · Entity: robomimic · Field: bimanual class · Unit: categorical · project-robomimic-github-io · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| RoboSuite dual-arm robot data | RoboSuite simulation Single- and dual-arm simulated configurations | Fixed-base simulation Simulated grippers | Optional; task/release dependent Simulation policy and demonstration data | Rendered vision and simulator state Simulation trajectories; exact export varies | Simulation tasks and assets for manipulation research. mit — verify exact dataset/subset terms | needs-review · medium Claim: lane07-robosuite-classification · Entity: robosuite · Field: bimanual class · Unit: categorical · project-robosuite-ai · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| AgiBot World dual-arm robot data | AgiBot whole-body platforms Dual-arm platform; hand detail requires publisher review | Whole-body/mobile platform Unknown — not verified in the registered primary source | Teleoperation listed by curated catalog Robot demonstrations in real-world environments | RGB-D and proprioception listed Unknown — not verified in the registered primary source | Hugging Face organization page describes the Beta release as 1M+ trajectories and 2,976.4 hours across 217 tasks, 87 skills, 3,000+ objects, and 100+ real-world scenarios. custom — verify exact dataset/subset terms | needs-review · medium Claim: lane07-agibot-world-classification · Entity: agibot-world · Field: bimanual class · Unit: categorical · project-huggingface-co-agibot-world · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| UMI two-hand human video | Human-held Universal Manipulation Interface One or two human-held gripper interfaces | Portable, in-the-wild collection Gripper actions rather than full finger pose | Human demonstrations retargeted to robot policies Human demonstrator supplies instrumented hand/gripper motion | Egocentric video and interface pose/state UMI project format; verify release | Project materials emphasize portable in-the-wild data collection and fast demonstrations for tasks such as cup manipulation, dish washing, cloth folding, and dynamic tossing. custom — verify exact dataset/subset terms | needs-review · medium Claim: lane07-umi-classification · Entity: umi · Field: bimanual class · Unit: categorical · project-umi-gripper-github-io · project · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
| LeRobot datasets dual-arm robot data | LeRobot dataset ecosystem; platform varies by repository Mixed; filter at dataset level | Mixed Mixed | Common but not universal Robot demonstrations and simulation datasets | Video plus tabular state/action fields by repository LeRobot v3 uses Parquet plus MP4 | LeRobot documentation describes a standardized dataset ecosystem on Hugging Face Hub using Parquet for tabular data and MP4 for video observations. custom — verify exact dataset/subset terms | needs-review · medium Claim: lane07-lerobot-datasets-classification · Entity: lerobot-datasets · Field: bimanual class · Unit: categorical · docs-huggingface-co-lerobot-en-lerobot-dataset-v3 · docs · Catalog/source checked 2026-07-22 · Publisher project/card overview; subset fields require release-level review · 2026-07-22 · unverified — source retrieval hash not recorded · Source-reported, not independently validated; unknown fields require direct publisher review. Current facet membership is discovery-only and does not establish commercial availability. |
Explore, then check public dataset fit. For custom collection specifications and commercial procurement, use the separate bimanual training-data service page or request capture matched to your rig.
READ THE TAG WITH CARE
Do not treat this tag as the whole sourcing decision
Facet groupings are discovery aids, not final recommendations. A shared modality, task, robot, format, license, or commercial-use label only says that datasets are worth comparing; it does not prove that the source is safe, complete, or useful for a target model.
Use this grouping to shortlist candidates, then open the dataset profiles, run fit and license checks, and compare sources against the buyer's target environment. Thin tag results become useful only when they route the reader into deeper evidence and action surfaces.
The external references below keep the facet grounded in robotics data practice. They help reviewers understand why format, embodiment, trajectory quality, licensing, and real-world coverage matter before a team commits engineering time to ingestion.
When a facet has only a few matching datasets, treat that as a signal rather than a weakness. It may mean the public corpus is thin for that robot, task, or format, and the next move is a custom supplement with the facet written into acceptance criteria.
Where to go next
- Robot training data marketplaceRobotics datasets
- Physical AI dataset catalogUse the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
- Hugging Face robotics indexScan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
- Dataset changelogTrack source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
- Dataset fit checkerScore whether a public source is enough for the model, rights path, modalities, and target environment.
- License risk checkerSeparate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
- Data spec generatorTurn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
- Vendor alternatives hubCompare data providers when the answer is not another public dataset but a better sourcing or capture route.
- Data annotation companiesUse the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
Other places to verify the claims
- Scale AI physical AI data engineMarket context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
- LeRobot documentationRobotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
- Open X-EmbodimentA cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
- DROID datasetA large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need bimanual manipulation data with cleaner rights?
Commission target-scoped data with contributor consent, capture metadata, sample QA, and delivery into your own storage.