Modeling Human Motor Skills to Enhance Robots' Physical Interaction

被引：0

作者：

Averta, Giuseppe ^{[1
,2
,3
]}

Arapi, Visar ^{[1
,2
]}

Bicchi, Antonio ^{[1
,2
,3
]}

della Santina, Cosimo ^{[4
,5
]}

Bianchi, Matteo ^{[1
,2
]}

机构：

[1] Univ Pisa, Res Ctr E Piaggio, Pisa, Italy

[2] Univ Pisa, Dept Informat Engn, Pisa, Italy

[3] Ist Italiano Tecnol, SoftBots Lab, Genoa, Italy

[4] Delft Univ Technol TU Delft, Delft, Netherlands

[5] German Aerosp Ctr DLR, Oberpfaffenhofen, Wessling, Germany

来源：

HUMAN-FRIENDLY ROBOTICS 2020 | 2021年 / 18卷

关键词：

Human motor control; Human-like robotic movements; Machine learning; Learning from humans;

D O I：

10.1007/978-3-030-71356-0_9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The need for users' safety and technology acceptability has incredibly increased with the deployment of co-bots physically interacting with humans in industrial settings, and for people assistance. A well-studied approach to meet these requirements is to ensure human-like robot motions and interactions. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the planning of arm movements and the learning of skills for physical interaction of robots with the surrounding environment.

引用

页码：116 / 126

页数：11

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