Using machine learning and robotics to discover plastic substitutes

IF 26.1 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2024-04-17 DOI:10.1126/scirobotics.adp7392

Melisa Yashinski

引用次数: 0

Abstract

Discovery of all-natural thin films with tunable properties was partially automated using robotics and machine learning.

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利用机器学习和机器人技术发现塑料替代品

利用机器人技术和机器学习技术，部分自动发现了具有可调特性的全天然薄膜。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.