erharmony.blogg.se - Google ghub

This is not an officially supported Google product.Google Nest Hub provides help at a glance in any room at home. All other code is licensed under an Apache-2.0 License. MIDI licensing information can be found here. Soundfont licensing information can be found here. MuJoco Menagerie's license can be found here.

The MuJoCo team for the development of the MuJoCo physics engine and their support throughout the project.

The Magenta team for helpful pointers and feedback.

Ilya Kostrikov for constantly raising the bar for RL engineering and for invaluable debugging help.

Philipp Wu and Mohit Shridhar for being a constant source of inspiration and support.

We would like to thank the following people for making this project possible: Start by cloning the zakka2023robopianist,Īuthor = , The recommended way to install this package is from source. We recommend using Miniconda to manage your Python environment.ģ.11 will be supported once the numba team resolves #8304. RoboPianist is supported on both Linux and macOS and can be installed with Python 3.8 up to 3.10. It includes code for loading and customizing a piano playing task, and a demonstration of a pretrained policy playing a short snippet of Twinkle Twinkle Little Star. We've created an introductory Colab notebook that demonstrates how to use RoboPianist.

Optional: Download additional soundfonts.

This codebase contains software and tasks for the benchmark, and is powered by MuJoCo.

The proposed challenge is mastering the piano through bi-manual dexterity, using a pair of simulated anthropomorphic robot hands. RoboPianist is a new 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. RoboPianist: A Benchmark for High-Dimensional Robot Control