--- 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 --out tables/ python make_figures.py --package final_results_package.json --e1b --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.