Asimov(@asimovinc):You can start training a humanoid before you own one. Asimov 1's open-source training code gives you a foundation to train and evaluate locomotion policies in simulation. Train your own policy: https://t.co/Wv92FhjZvn

2026.10.07 03:24

You can start training a humanoid before you own one. Asimov 1's open-source training code gives you a foundation to train and evaluate locomotion policies in simulation. Train your own policy:

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Asimov@asimovinc

2026.09.25 03:19

Your next robotics project could start with these steps. Today, we're open-sourcing Asimov 1's locomotion policy and the training code behind it, giving developers a foundation to build on. Alongside the trained policy checkpoint, we're sharing our Isaac Lab-based training code, including reward definitions, hardware-tuned actuator configurations, and domain randomization settings. That foundation gives you a starting point for your own experiments. Adapt the training setup to hardware changes. Explore different walking styles. Build toward new capabilities. We've taken the first steps. Build what comes next. Asimov 1 locomotion:

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