chengxuxin / extreme-parkour

[ICRA 2024]: Train your parkour robot in less than 20 hours.
https://extreme-parkour.github.io
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Questions about step5 in README.md file #31

Open XanderWangXY opened 7 months ago

XanderWangXY commented 7 months ago

In README.md file:

  1. Save models for deployment:
    python save_jit.py --exptid xxx-xx

    After I finish this step, how can I deploy the model to a real robot?

chengxuxin commented 7 months ago

Unfortunately, we do not open source our hardware code as of now. But it is very straight forward to implement based on other opens source implementations, such as https://github.com/yxyang/cajun https://github.com/yxyang/fast_and_efficient https://github.com/Improbable-AI/walk-these-ways

XanderWangXY commented 7 months ago

Unfortunately, we do not open source our hardware code as of now. But it is very straight forward to implement based on other opens source implementations, such as https://github.com/yxyang/cajun https://github.com/yxyang/fast_and_efficient https://github.com/Improbable-AI/walk-these-ways

Thank you very much

1242713693 commented 7 months ago

不幸的是,我们目前还没有开源我们的硬件代码。但基于其他开源实现来实现是非常直接的,比如 https://github.com/yxyang/cajun https://github.com/yxyang/fast_and_efficient https://github.com/Improbable-AI /走这些路

Looking forward to seeing you open source your hardware code on github soon, I think it will be cool

1242713693 commented 7 months ago

不幸的是,我们目前还没有我们开源的硬件代码。但基于其他开源实现来实现是非常直接的,比如https://github.com/yxyang/cajun https://github.com/yxyang/fast_and_efficient https ://github.com/Improbable-AI/走这些路

非常感谢 Look forward to deploying this open source code to A1