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.

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