Frontiers in Neurorobotics

SCI期刊
Frontiers in Neurorobotics
中文名称:
神经机器人学前沿
期刊缩写:
Front. Neurorob.
影响因子:
2.6
ISSN:
print: 1662-5218
研究领域:
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
h-index:
23
自引率:
6.50%
Gold OA文章占比:
99.85%
原创研究文献占比:
96.32%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
5.20.6760.938
学科
排名
百分位
大类:Engineering
小类:Biomedical Engineering
126 / 303
58%
大类:Computer Science
小类:Artificial Intelligence
156 / 350
55%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
4区 计算机科学
4区 计算机:人工智能 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
4区 神经科学 NEUROSCIENCES
4区 机器人学 ROBOTICS
WOS期刊分区
学科分类
Q3COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q3NEUROSCIENCES
Q3ROBOTICS
历年影响因子
2015年1.7230
2016年2.4860
2017年2.6060
2018年3.0000
2019年2.5740
2020年2.6500
2021年3.4930
2022年3.1000
2023年2.6000
历年发表
2012年12
2013年27
2014年28
2015年15
2016年22
2017年71
2018年88
2019年108
2020年118
2021年189
2022年250
投稿信息
出版语言:
English
出版国家(地区):
SWITZERLAND
审稿时长:
14 weeks
出版商:
Frontiers Media S.A.
编辑部地址:
AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, SWITZERLAND, CH-1015

Frontiers in Neurorobotics - 最新文献

A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles.

Pub Date : 2024-10-22 DOI: 10.3389/fnbot.2024.1488337 Lei Wang, Danping Liu, Jun Wang

TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer.

Pub Date : 2024-10-21 DOI: 10.3389/fnbot.2024.1443177 Libo Ma, Yan Tong

Cascade contour-enhanced panoptic segmentation for robotic vision perception.

Pub Date : 2024-10-21 DOI: 10.3389/fnbot.2024.1489021 Yue Xu, Runze Liu, Dongchen Zhu, Lili Chen, Xiaolin Zhang, Jiamao Li
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