Action Imitation

Introduction

In this tutorial, we will demonstrate how to teach Muto actions by chatting with it through the Dify interface.

Operation Steps

Preparatory Steps

This lesson requires the Dify terminal to be running, ensuring Dify is functioning correctly and all configuration items are set up as described in previous sections.

This lesson requires the MutoRS to be powered on. Following the instructions in the previous sections... Starting a large model terminal in Docker

Getting Started

The commands we'll use in this lesson are as follows:

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I'll teach you a Tai Chi routine, and after you've learned it, perform it for me twice.

When we see start_continuous_action_learning output from the backend, Muto will enter learning mode.

At this point, we can guide Muto to learn the movements by moving its two forelimbs. Muto will continuously record ten movements.

After learning, Muto's forelimbs will quickly return to their original positions.

The return speed is fast, please be careful.

Then perform the newly learned "Tai Chi" sequence twice.

Continuous Motion Learning and Performance

The motions learned by Muto are persistently saved on the motherboard. Multiple different motion files can be stored on Muto's motherboard, each with a different name.

Let's teach Muto another set of motions and then have it perform both sets.

Observing Muto's behavior, we can see that both sets of motions play correctly.

Our motion files are permanently saved on Muto's motherboard, so the motions will still exist after a system restart.