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Download README.md from nhatcm/hri_diff_large_eval: direct link, hf CLI and curl.
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836 Bytes
| configs: | |
| - config_name: results | |
| data_files: | |
| - split: test | |
| path: evaluation_summary.jsonl | |
| tags: | |
| - robotics | |
| - human-robot-interaction | |
| - evaluation | |
| # HRI-diff large: HITBench closed-loop evaluation | |
| Model: https://huggingface.co/nhatcm/hri_diff_large | |
| This release contains 180 object-perturbed tomato-to-bowl rollouts | |
| across nine interactions, with 20 frozen states per interaction. Each rollout | |
| contains a JSON summary, trajectory arrays, and an MP4. The browsable | |
| `evaluation_summary.jsonl` gives relative paths to those files. | |
| The evaluation used the sealed perturbation bank and human-plan initialization, | |
| 50-action prediction, one-action execution with replanning, a 650-step cap, | |
| and raw policy actions without a safety filter or transfer guards. | |
| Successes: overall 6/180, task | |
| 4/180, HRI 84/180, | |
| safety 166/180. | |