Chargement en cours...
Implementation of Deep Deterministic Policy Gradients for Controlling Dynamic Bipedal Walking
A control system for bipedal walking in the sagittal plane was developed in simulation. The biped model was built based on anthropometric data for a 1.8 m tall male of average build. At the core of the controller is a deep deterministic policy gradient (DDPG) neural network that was trained in GAZEB...
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2019-03-01
|
| Collection: | Biomimetics |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2313-7673/4/1/28 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|