“数据将解决机器人和自动化问题：对还是错？”：一场辩论
IF 27.5
1区 计算机科学
Q1 ROBOTICS
引用次数: 0
摘要
领先的研究人员争论无模型方法的长期影响，这种方法使用大量的演示数据来训练数值生成模型来控制机器人。本文章由计算机程序翻译，如有差异，请以英文原文为准。
“Data will solve robotics and automation: True or false?”: A debate
Leading researchers debate the long-term influence of model-free methods that use large sets of demonstration data to train numerical generative models to control robots.
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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
83
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.
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