Teaching robots the art of human social synchrony

IF 26.1 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2024-03-27 DOI:10.1126/scirobotics.ado5755

Rachael E. Jack

引用次数: 0

Abstract

Humanoid robots can now learn the art of social synchrony using neural networks.

查看原文本刊更多论文

教机器人学习人类社会同步的艺术

仿人机器人现在可以利用神经网络学习社会同步艺术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Science Robotics Mathematics-Control and Optimization

CiteScore

30.60

自引率

2.80%

发文量

期刊介绍： Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.