Tateo_Davide_End-to-end Learning for Multi-Embodiement Locomotion_Fig1

Tateo_Davide_End-to-end Learning for Multi-Embodiement Locomotion_Fig1

Bildunterschrift

Figure 1: Top – We train a single locomotion policy for multiple robot embodiments in simulation. Bottom – We can transfer and deploy the policy on three real-world platforms by randomizing the embodiments and environment dynamics during training.