Research methodology
How RoboSkin.ai traces claims to evidence
RoboSkin.ai organizes public robotics research into definitions, model records, and practical reading routes. Our method keeps the cited source, the claim it supports, the evaluation conditions, and the remaining uncertainty together. Most research briefs explain findings reported by the original researchers.
Methodology published . This page date does not change the source-review dates of existing records.
Source tracing
Follow the claim back to its source
01
Identify the source and version
Start with the paper, official project, model card, standards document, or repository. Keep the source URL and distinguish the original publication date, the version inspected, and the date of source review. A later project announcement may describe a different release from the paper.
02
Trace the specific claim
Connect a result to its methods, table, figure, model specification, or released artifact. Separate the authors’ reported findings from RoboSkin.ai interpretation. When the reviewed material does not establish a detail, keep that gap visible.
03
Keep the experimental boundary
Read a result together with its robot, sensor, task, data split, trial count, metric, baseline, and intervention conditions. A simulation result, physical-robot result, and mixed-task average describe different evidence. A reported success rate does not establish transfer to another setup.
04
Check artifacts separately
Distinguish a public paper from downloadable code, weights, and data. Record what was inspected and what remains unverified. A project page or “coming soon” link is not a released implementation; a paper or repository license does not automatically cover model weights or datasets.
What was checked
Read the evidence label before the result
Use the evidence stated on the individual page. Source review, artifact inspection, execution, and physical testing are separate activities. These labels describe the available record; they are not a ranking of papers, products, or model quality.
| Activity | Evidence to look for | Boundary |
|---|---|---|
| Source review | An explanation of a cited paper or official document, including its reported results and limits. | It does not establish independent reproduction or peer review by RoboSkin.ai. |
| Artifact inspection | A record of the public files, code, manifest, or license that were actually inspected. | It does not establish successful execution or a complete dataset download. |
| Execution or replay | A dated run with identified code, dependencies, inputs, commands, and observed output; synthetic inputs and replay are labeled. | It does not establish a live sensor measurement or a physical robot experiment. |
| Physical experiment | Evidence identifying the actual hardware, calibration, task, trials, baseline, failures, and measured output. | It does not establish performance on other hardware or certified deployment safety. |
Unknown release status, missing trial counts, unverified licenses, and unperformed tests remain explicit gaps. Metrics from different robots, objects, calibration, sampling rates, controllers, or task definitions are not a shared leaderboard.
Model records
Compare the same questions
World-model and VLA records organize different architectures around a common set of questions. A future-state predictor, a high-level planner, and an action policy have different roles even when they share a model family.
- Identity and provenance
- Model name and stable record, family or category, release and source version, organizations, primary links, and review date.
- Inputs and outputs
- Observed modalities and robot state, generated actions or predictions, and the distinction between training supervision and inference inputs.
- Role in the robot
- Prediction target, action conditioning, planning or policy role, feedback path, embodiment, and controller boundary.
- Data and access
- Training-data scope, code, weights and dataset availability, with a separate license boundary for each artifact.
- Evaluation and limits
- Task and hardware conditions, metric definition, trials and baselines, source-reported results, missing details, and evidence status.
A record should say whether touch is observed during deployment, used only for training, or predicted by the model. A tactile training target alone does not establish live tactile feedback. A plausible predicted trajectory alone does not establish closed-loop robot success.
Updates
Change the record when the evidence changes
A revised paper, released artifact, changed license, or corrected interpretation can justify an update. Material factual changes receive a revised modified date and a short revision note in the affected article. Keep the scientific publication date and the source-review date distinct from the page modification date.
Typographic, layout, or navigation edits do not turn an unchanged source into newly reviewed research. A review date records the check described on that page; it does not promise that an external download or service is still available today.
Corrections
Make a disputed claim easy to locate
Send the affected page URL, the exact statement or attribution, and a primary source with the relevant version, section, or result when available. Explain the proposed correction and the evidence supporting it.
Steven Yang, Founder & Editor, is responsible for the publication standards and corrections process described in the editorial policy. A correction request does not by itself establish a new research finding or independent verification.
Submit a correctionEditorial responsibility
Keep attribution and independence visible
AI and automation may assist source organization, drafting, or explanatory illustrations. Technical claims still require the cited primary evidence. The editorial byline does not imply authorship of the scientific work, laboratory affiliation, expert peer review, or an independently reproduced experiment. Explanatory artwork is not a measurement.
RoboSkin.ai offers source-based research services. Paid work does not buy public editorial inclusion or change a source-supported conclusion. Material sponsorship, affiliate relationships, or other conflicts must be identified on affected content when present. The editorial policy retains the full independence and disclosure rules.