# Grasp'D-1M (Fast-Grasp'D)

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

- id: `grasp-d-1m-fast-grasp-d`
- kind: grasping
- robot or device: three robot hands, differentiable simulation (class: dexterous hand)
- how collected: differentiable simulation synthesis
- size as stated: one million training examples
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2023
- organisation: University of Toronto, NVIDIA
- licence: not stated (class: not stated)
- access: open (class: open)
- link (dataset): https://dexgrasp.github.io/
- note: Multi-finger grasps.

Confirm the licence at the link before relying on it.