Datasets › RoboPianist

RoboPianist

Introduced by Kevin Zakka et al. in RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning9 Apr 2023 archive 2025-07-28

RoboPianist is a benchmarking suite for high-dimensional control, targeted at testing high spatial and temporal precision, coordination, and planning, all with an underactuated system frequently making-and-breaking contacts. The proposed challenge is mastering the piano through bi-manual dexterity, using a pair of simulated anthropomorphic robot hands. The initial version covers a broad set of 150 variable-difficulty songs.

Source: RoboPianist: A Benchmark for High-Dimensional Robot Control

Image Source: RoboPianist: A Benchmark for High-Dimensional Robot Control

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • RoboPianist

1 variant name, as the archive lists them.

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