Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges

IF 27.5 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2025-09-24 DOI:10.1126/scirobotics.adv7932

Andrew I. Cooper, Patrick Courtney, Kourosh Darvish, Moritz Eckhoff, Hatem Fakhruldeen, Andrea Gabrielli, Animesh Garg, Sami Haddadin, Kanako Harada, Jason Hein, Maria Hübner, Dennis Knobbe, Gabriella Pizzuto, Florian Shkurti, Ruja Shrestha, Kerstin Thurow, Rafael Vescovi, Birgit Vogel-Heuser, Ádám Wolf, Naruki Yoshikawa, Yan Zeng, Zhengxue Zhou, Henning Zwirnmann

引用次数: 0

Abstract

Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.

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利用人工智能和机器人技术加速自然科学实验室的发现：观点和挑战

科学实验室自动化加速了生命科学和材料的发现。然而，它需要跨学科合作来解决诸如强大和灵活的自主性、可重复性、吞吐量、标准化、人类科学家的角色和伦理等挑战。这篇文章强调了这些问题，反映了来自自然科学不同学科的实验室自动化领先专家的观点。

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.