具身智能:形态、行动、感知和学习的协同作用

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Huaping Liu, Di Guo, Angelo Cangelosi
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引用次数: 0

摘要

具身智力强调智力受大脑、身体和环境紧密耦合的影响。它是通过信息感知和与环境的物理交互过程不断动态产生的。近年来,具身智力的研究范围也在不断扩大,引起了社会各界的广泛关注。与此同时,人们提出了大量与具身智能相关的研究工作,尤其是最近几年。本文从具身智力是形态、行动、感知和学习的协同作用的角度对具身智力进行了全面的综述,并对现有的研究进行了全面的总结和分类。具体来说,由于具身智力是所有这些组成部分的协同作用,而不是它们本身,我们主要关注这四个组成部分(形态、行动、感知和学习)之间的联系,并确定未来研究可以从它们的内在联系中受益的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embodied Intelligence: A Synergy of Morphology, Action, Perception and Learning
Embodied intelligence emphasizes that the intelligence is affected by the tight coupling of brain, body and environment. It is continuously and dynamically generated through the process of information perception and physical interaction with the environment. During the past years, the research scope of embodied intelligence has also been expanding and it has attracted great attentions from various communities. At the same time, a huge number of works relevant to embodied intelligence have been proposed, especially in recent several years. In this paper, we present a comprehensive survey of embodied intelligence from the perspective that it is a synergy of morphology, action, perception and learning, providing a thorough summary and categorization of existing studies. Specifically, as the embodied intelligence is a synergy of all these components rather than themselves alone, we mainly focus on the connections across these four components (morphology, action, perception and learning) and identify areas where future research can benefit from their intrinsic connections.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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