Robot Task-Constrained Optimization and Adaptation with Probabilistic Movement Primitives

Enabling a robot to learn skills from a human and adapt to different task scenarios will enable the use of robots in manufacturing to improve efficiency. Movement Primitives (MPs) are prominent tools for encoding skills. This paper investigates how to learn MPs from a small number of human demonstra...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Guanwen Ding, Xizhe Zang, Xuehe Zhang, Changle Li, Yanhe Zhu, Jie Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Biomimetics
Assuntos:	human–robot skill transfer learning from demonstration probabilistic movement primitives task-constrained optimization movement adaptation
Acesso em linha:	https://www.mdpi.com/2313-7673/9/12/738
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!