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AI model

AMO (Adaptive Motion Optimization)

From github.com/OpenTeleVision/AMO (opens in a new tab)

  • Humanoids and robot learning
  • Apache-2.0 (code)
  • Apache-2.0 (weights)

A whole-body control model for humanoid robots that lets them move with coordinated legs and arms, shown running in the MuJoCo simulator.

Open on GitHub (opens in a new tab)

Facts

Code last updated
20 Nov 2025Newest commit on main
Maintenance
Maintaineda commit in the last 12 months
Difficulty
Advanced

Checked on GitHub on 6 Nov 2026.

Licenses

Code
Apache-2.0 (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) at commit 34caaf9 (opens in a new tab), on 4 Nov 2026. A license text Robotheca's reader does not know: a person at Robotheca set it on 9 Nov 2026.

Weights
Apache-2.0 (opens in a new tab)

Read on github.com/OpenTeleVision/AMO/blob/main/amo_jit.pt (opens in a new tab).

Commercial use
Yes

Overview

What it does: Robotheca's summary

  • Provides a trained model that can be run and visualized in the MuJoCo simulator via a play script.
  • Lets the user adjust torso height, yaw, pitch and roll with keyboard controls.
  • Controls forward, lateral and turning velocity, including commands outside the training range.
  • Allows arm motions to be added on top of the locomotion control with a toggle key.

Written by Robotheca from the project's README (opens in a new tab) at commit 34caaf9, not by its creator.

The model card

Read the README on GitHub (opens in a new tab)

Files and versions

Facts read at commit 34caaf9

Robotheca never hosts the code or the weights: each link goes to the creator's own page.

Use it

How to load it, in the creator's words: The project's website (opens in a new tab)

Robotheca doesn't review code. Read it before running it.

Robotheca lists AI models as a reference: nothing is hosted or run here, and every fact links to where it was read.