ROS 2 / K8S LAB
EVIDENCE-FIRST RESEARCH

Experiments & reproducible results.

A public registry for ROS 2, Kubernetes, Jev, agentic AI and edge/cloud robotics comparisons. Research questions are real; performance results are published only when their raw evidence can be reviewed.

4 planned tracks0 verified runs at initial publicationResearch in progress
01 / Open experiment registry

What has actually been measured?

At initial publication, no scenario has a verified Jev run or robotics performance result. Performance cells deliberately show N/A rather than estimates. The registry can be updated through reviewed pull requests once the experiment protocol and evidence requirements are met.

Research integrity: an animated walkthrough, mock ROS 2 log or syntactically valid JSON fixture is not experimental evidence. A Jev response from one unrepeatable query is not a statistically supported benchmark. Do not compare hosted model speeds against unmeasured local runs.
ExperimentPrimary endpoint to measureEvidence statusResultNext action
ROS 2 DDS/QoS fault triage
Research issue #84
Macro-F1 and coverage/abstentionNot measuredN/AJoin experiment
Edge/cloud inference placement
Research issue #85
Sensor-to-valid-action p95Not measuredN/AJoin experiment
LLM simulator skill proposal screening
Research issue #86
Unauthorized proposal recallNot measuredN/AJoin experiment
Fair multi-robot simulated dispatch
Research issue #87
Simulated task completion and fairnessNot measuredN/AJoin experiment

Client-side enhancement reads data/experiments.json from this static site. Without JavaScript, all rows remain visibly labelled "Not measured" by default. Changes to verified status require a provenance-complete artifact and maintainer review.

02 / Evidence contract

What a result submission must contain.

01 / INPUTS

Frozen experiment

Task and null hypothesis, exact dataset/split and license, source and container commits, model/revision and question criteria hash, hardware/clock and network profile.

02 / RUNS

Raw and failed outcomes

Run IDs, seeds, repeats, all valid/invalid/unknown predictions, provider outages, latency with units, actual measurement source and cost assumptions.

03 / REPRODUCTION

Independent review

Raw shareable files, SHA-256 hashes, scripts and exact replay commands, calculated uncertainty and limitations, human-reviewed evidence URL.

Status rules

  • Planned: question and methodology exist; measured values must remain null.
  • Collecting: trial evidence is under review; measured values remain undisplayed.
  • Verified: public evidence, immutable run manifest hash and numerical metric exist and were independently reviewed.

Research safeguards

Use synthetic or licensed data; never commit secret tokens, private ROS telemetry, real robot addresses or unapproved human recordings. Independent deterministic safety controls and simulator-only boundaries are mandatory. Neither TypeSafe nor this website certifies a robot controller.

03 / Contribute results

Publishing a negative finding is valuable too.

Propose a reproducible experiment

Before submitting claims, read the scenario, preregister metrics and create a small issue/PR that includes scripts, synthetic or licensed raw data, failures, and an evidence manifest. See the dedicated results issue and Claude Code/Codex instructions.

Evidence workflow issue #88 ↗

Next: Browse scenarios and select one study to extend with independently reproducible evidence.