机器人软件:过去、现在和未来

IF 11.2 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Review of Control Robotics and Autonomous Systems Pub Date : 2023-10-20 DOI:10.1146/annurev-control-061323-095841

Jesse Haviland, Peter Corke

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引用次数: 0

摘要

机器人是由软件驱动的。软件工具控制着机器人研究的创新速度，推动机器人产业的发展，并为未来的创新者和开发人员的教育提供动力。GitHub上有近900,000个开源存储库被标记为关键字机器人，这是一个潜在的巨大资源，但其中只有一小部分在质量、许可性、可理解性和总拥有成本方面是真正可访问的。我们面临的挑战是将这些资源与学生、研究人员和公司的需求相匹配，以推动前沿研究和现实世界的工业解决方案。本文回顾了机器人技术的软件工具，包括由社区和作者创建的软件工具，以及它们对教育、研究和工业的影响。预计《控制、机器人和自主系统年度评论》第七卷的最终在线出版日期是2024年5月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。

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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Robotics Software: Past, Present, and Future

Robotics is powered by software. Software tools control the rate of innovation in robotics research, drive the growth of the robotics industry, and power the education of future innovators and developers. Nearly 900,000 open-source repositories on GitHub are tagged with the keyword robotics—a potentially vast resource, but only a fraction of those are truly accessible in terms of quality, licensability, understandability, and total cost of ownership. The challenge is to match this resource to the needs of students, researchers, and companies to power cutting-edge research and real-world industrial solutions. This article reviews software tools for robotics, including both those created by the community at large and those created by the authors, as well as their impact on education, research, and industry. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 7 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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来源期刊

Annual Review of Control Robotics and Autonomous Systems Multiple-

CiteScore

28.30

自引率

2.20%

发文量

期刊介绍： The Annual Review of Control, Robotics, and Autonomous Systems offers comprehensive reviews on theoretical and applied developments influencing autonomous and semiautonomous systems engineering. Major areas covered include control, robotics, mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal extends its reach beyond engineering to intersect with fields like biology, neuroscience, and human behavioral sciences. The current volume has transitioned to open access through the Subscribe to Open program, with all articles published under a CC BY license.