Humanoid Robotics Companies FMEA Dataset
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Research and analysis use (supplier terms)
- Source / creator
- Not documented
- Collection method
- Supplier README: public-source research with per-row evidence and verification dates. Severity/occurrence/detection scores appear only on engineering-inference rows, not documented incident rows.
- Coverage start
- Not documented
- Coverage end
- Not documented
- Data last updated
- Not documented
- Update schedule
- Not documented
Preview contains a bounded selection from archive entry atlas_humanoid_robotics_fmea.csv; it does not represent every file in the bundle. Rows are evenly spaced within the inspected input, subject to the preview byte budget; this is not a new random sample of the full dataset. Supplier README permits research and analysis use. Underlying third-party reporting retains its own rights. Three rows contain analyst-inferred risk scores; these are not observed safety measurements.
Sample structure score: 93 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (JSON) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 43 / 50 | 172 of 200 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 172 of 172 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| record_id | 0 / 10 | string | 0 / 10 |
| company | 0 / 10 | string | 0 / 10 |
| robot_platform | 0 / 10 | string | 0 / 10 |
| subsystem | 0 / 10 | string | 0 / 10 |
| function | 0 / 10 | string | 0 / 10 |
| failure_mode | 0 / 10 | string | 0 / 10 |
| failure_effect | 0 / 10 | string | 0 / 10 |
| failure_cause | 0 / 10 | string | 0 / 10 |
| severity | 7 / 10 | number | 0 / 3 |
| occurrence | 7 / 10 | number | 0 / 3 |
| detection | 7 / 10 | number | 0 / 3 |
| risk_priority_number | 7 / 10 | number | 0 / 3 |
| mitigation_control | 0 / 10 | string | 0 / 10 |
| evidence_type | 0 / 10 | string | 0 / 10 |
| evidence | 0 / 10 | string | 0 / 10 |
| source_url | 0 / 10 | string | 0 / 10 |
| source_title | 0 / 10 | string | 0 / 10 |
| verification_date | 0 / 10 | string | 0 / 10 |
| confidence | 0 / 10 | string | 0 / 10 |
| notes | 0 / 10 | string | 0 / 10 |
About this data
Failure Mode and Effects Analysis dataset covering 24 failure modes across 8 humanoid robotics OEMs (Tesla Optimus, Boston Dynamics Atlas, Unitree H1/G1, Figure AI Figure 02, Agility Robotics Digit, Apptronik Apollo, 1X Technologies NEO, Fourier Intelligence GR-1). 21 rows documented from public sources; 3 rows explicitly marked as engineering inference. All records include source URLs and provenance type for traceability. Severity, occurrence, detection, and RPN scores omitted as companies do not publish internal FMEA metrics.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py bdcab882-5012-4fe3-9703-b850d71aca2f --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| record_id | string | |
| company | string | |
| robot_platform | string | |
| subsystem | string | |
| function | string | |
| failure_mode | string | |
| failure_effect | string | |
| failure_cause | string | |
| severity | number | |
| occurrence | number | |
| detection | number | |
| risk_priority_number | number | |
| mitigation_control | string | |
| evidence_type | string | |
| evidence | string | |
| source_url | string | |
| source_title | string | |
| verification_date | string | |
| confidence | string | |
| notes | string |
Sample Data
Preview a sample of the data before downloading.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Humanoid Robotics Companies FM" })
// Found: bdcab882-5012-4fe3-9703-b850d71aca2f
get_download_url({ dataset_id: "bdcab882-5012-4fe3-9703-b850d71aca2f" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/bdcab882-5012-4fe3-9703-b850d71aca2f/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"