# Touch and Go

From the catalogue. Listed by one researcher from one source page.

- id: `touch-and-go`
- kind: egocentric
- robot or device: human-held tactile sensor with camera (class: human egocentric)
- how collected: humans probing objects in natural environments
- size as stated: 12K+ visuo-tactile frames (per awesome list); 2.5 hours, worked out from frames and frame rate
- hours: 2.5 | hours only claimed: none | episodes: not stated
- year: 2022
- organisation: University of Michigan
- licence: not stated (class: not stated)
- access: not stated (class: not stated)
- link (paper): https://arxiv.org/abs/2211.12498
- note: Paired vision and touch.

## Copies and ports on the Hugging Face Hub

Uploads whose name carries this dataset's name, most downloaded first. Each has its own licence, which can differ from the original's.

| repository | robot | class | kind | episodes | hours | licence | downloads (30 d) |
|---|---|---|---|---|---|---|---|
| [sach088/dino_touch_and_go](https://huggingface.co/datasets/sach088/dino_touch_and_go) | SO-100 | low cost arm | recording | 50 | 0.1 | open | 39 |
| [sach088/dino_touch_and_go_3_pts](https://huggingface.co/datasets/sach088/dino_touch_and_go_3_pts) | SO-100 | low cost arm | recording | 90 | 0.2 | open | 35 |
| [sach088/dino_touch_and_go_3_points](https://huggingface.co/datasets/sach088/dino_touch_and_go_3_points) | SO-100 | low cost arm | recording | 30 | 0.1 | open | 28 |

Each repository links to its Hugging Face page, where the files download. Everything this index knows about one upload: https://datasets.gurasees.com/datasets/{repository}.md

Confirm the licence at the link before relying on it.