google-deepmind / google-deepmind/dm_control

Getting started with interactive viewer

Aperta
#353 1 commento 0 reazioni 0 assegnatari Vedi su GitHub
enhancement
Lingua principale
Python
Stelle
4.7k
Fork
764
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

I'm new to mujoco and I wish to run my robot model in an interactive viewer.
In various posts I encountered, it is recommended to use mujoco's `simulate` utility, however, to my understanding, `simulate` will not allow me full programmable control of my robots (e.g., applying external forces).

I guess I should use `dm_control.viewer.launch(env)`, but this requires building a `composer.Environment` object as well as defining a `Task`, which seem pretty complex.
Is there sample code showing how to generate a simple `Environment` object? Alternatively, is there an easier way to get started with interactive viewer?

Guida per i contributori

Apri la guida per i contributori

Valutazione

Questa issue non è ancora stata valutata.

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.