| license: mit | |
| task_categories: | |
| - video-text-to-text | |
| tags: | |
| - robotics | |
| - human-robot-interaction | |
| - safety | |
| # TouchSafeBench | |
| This repository contains the data presented in [Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration](https://huggingface.co/papers/2605.31196). | |
| TouchSafeBench is a physics-grounded benchmark for evaluating collision grounding in vision-language models (VLMs). Built in Habitat 3.0, it contains 2,940 simulated indoor co-presence episodes across social navigation and social rearrangement, with synchronized multi-view RGB-D observations, top-down trajectory maps, calibrated camera metadata, and simulator-derived contact labels. | |
| - Project page: https://jun25336-bit.github.io/TouchSafeBench/ | |
| - Code: https://github.com/jun25336-bit/TouchSafeBench | |
| The benchmark supports two deployment-facing tasks: | |
| - Safety event classification: no event, scene collision, or human collision risk. | |
| - Collision warning: no risk, operational hazard, or catastrophic risk. |