ARS: AI-Driven Recovery Controller for Quadruped Robot Using Single-Network Model

ARS: AI-Driven Recovery Controller for Quadruped Robot Using Single-Network Model

Legged robots, especially quadruped robots, are widely used in various environments due to their advantage in overcoming rough terrains. However, falling is inevitable. Therefore, the ability to overcome a falling state is an essential ability for legged robots. In this paper, we propose a method to...

Full description

Saved in:
Bibliographic Details
Main Authors: Han Sol Kang, Hyun Yong Lee, Ji Man Park, Seong Won Nam, Yeong Woo Son, Bum Su Yi, Jae Young Oh, Jun Ha Song, Soo Yeon Choi, Bo Geun Kim, Hyun Seok Kim, Hyouk Ryeol Choi
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Biomimetics
Subjects:
legged robot
reinforcement learning
fall recovery
Online Access:https://www.mdpi.com/2313-7673/9/12/749
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2313-7673/9/12/749

Similar Items