Nobody enjoys being around robots that have awkward or unnatural movement. Many companies are working on perfecting their robots’ movements. Figure 02 is now capable of natural walking. An end-to-end neural network, trained with reinforcement learning (RL), for humanoid locomotion, was used to achieve this. These robots have learned to walk like humans with a high fidelity physics simulator.
The physics simulator used for reinforcement learning collected years worth of demonstrations in a few hours. The above video shows this robot in action.
[HT]