Código QR (código de barras bidimensional)

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

Industrial robot manipulators are playing a significant role in modern manufacturing industries. Though peg-in-hole assembly is a common industrial task that has been extensively researched, safely solving complex, high-precision assembly in an unstructured environment remains an open problem. Reinf...

ver descrição completa

Na minha lista:
Principais autores: Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, Kensuke Harada
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-10-01
coleção:Applied Sciences
Assuntos:
reinforcement learning
compliance control
robotic assembly
sim2real
domain randomization
Acesso em linha:https://www.mdpi.com/2076-3417/10/19/6923
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados