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Add multilingual robot grounding causal-audit reproducibility artifact
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---
license: cc-by-4.0
language:
- en
- ru
- kk
tags:
- robotics
- embodied-ai
- human-robot-interaction
- multilingual
- speech-recognition
- text-to-speech
- computer-vision
- robot-manipulation
- vision-language-action
- causal-evaluation
- semantic-grounding
- reproducibility
- kazakh
- russian
- english
pretty_name: "Multilingual Robot Grounding: A Causal Speech–Vision–Action Audit"
size_categories:
- n<1K
---
# Multilingual Robot Grounding: A Causal Speech–Vision–Action Audit
Frozen manifests, per-condition traces, semantic-preservation analyses, instruction-dependence
controls, counterfactual robot outcomes, and reproducibility scripts for a multilingual
speech–vision–action grounding audit.
A compact multilingual (Kazakh / Russian / English) speech→ASR→parser→perception→policy→TTS
pipeline is evaluated on a frozen benchmark of 60 counterfactual VLABench states (480 conditions,
960 paired closed-loop episodes), with and without a deterministic six-action safeguard. This
repository contains read-only trace data and derived tables/figures only; no model weights and no
secrets are included.
## Provenance
- Frozen results package `final_results_package.json`, sha256 prefix `b1c42a62bc46b0b2`.
- Normalizer `e7b53b46…`; guard `deterministic_compact_guard.v1`; command spec
`53487b00cd7a6b2a`; fixtures `93181e7a6b25add8`; frames `2889872014f3ff49`;
ASK fixtures `027dae74be94338a`; episodes `a626e682d055e03c`; gold results
`47b41f2d2dbeb9ea`; policy checkpoint `lerobot/smolvla_vlabench`.
- No large-model supervision, distillation or oracle leakage. All 960 primary episodes completed
with zero technical failures. `SHA256SUMS.txt` fixes every file below.
## Pipeline components (referenced, not redistributed here)
- ASR — [`nur-dev/Qwen3-ASR-0.6B-kk-ru-en`](https://huggingface.co/nur-dev/Qwen3-ASR-0.6B-kk-ru-en)
- Semantic parser — [`nur-dev/farabi-0.6B-agent-rag`](https://huggingface.co/nur-dev/farabi-0.6B-agent-rag)
- TTS — [`nur-dev/ait-syn-0.6b-trilingual-v30`](https://huggingface.co/nur-dev/ait-syn-0.6b-trilingual-v30)
- Policy — [`lerobot/smolvla_vlabench`](https://huggingface.co/lerobot/smolvla_vlabench)
## Contents
| Path | What |
|------|------|
| `final_results_package.json` | Single frozen package; source of every headline number. |
| `analyses/` | Canonical ASR×frame cross-tab, stage decomposition, exact intervals, gold-input analysis, paired study analysis. |
| `traces/` | Per-condition raw traces: episodes, fixtures, S0 frames, ASK fixtures, benchmark conditions. |
| `figures/` | The five paper figures (vector PDF). |
| `tables/` | The ten paper tables (LaTeX `tabular` bodies). |
| `native_review_worksheet.csv` | The 26 cross-script ASR recoveries pending native Kazakh/Russian review. |
| `SHA256SUMS.txt` | Checksums for all of the above. |
## Reproducing the tables and figures
The tables and figures are regenerated purely from `final_results_package.json` (plus the frozen
instruction-dependence audit) by the paper's `reproduce/` scripts:
```bash
python make_tables.py --package final_results_package.json --e1b <audit.json> --out tables/
python make_figures.py --package final_results_package.json --e1b <audit.json> --out figures/
```
## Scope and limitations
Simulation only; synthetic integration speech, not human speech. Object results are exploratory
(2 templates); the attribute axis is primary (5 templates). Destination and relation axes are not
claimed. 26 cross-script ASR-recovery labels are pending native review and can affect only those
26 condition labels, none of the execution results.
## License
Released under CC-BY-4.0.