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Frontiers in Neurorobotics is a peer-reviewed journal published by Frontiers, covering Muscle activation and electromyography studies, EEG and Brain-Computer Interfaces, Robot Manipulation and Learning. Over its lifetime it has published 1,515 papers, which have received 34,169 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Neurorobotics, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Neurorobotics style. No sign-up. |
| Publishes research in | Muscle activation and electromyography studies EEG and Brain-Computer Interfaces Robot Manipulation and Learning Prosthetics and Rehabilitation Robotics Stroke Rehabilitation and Recovery |
| ISSN | 1662-5218 |
| Citation impact (2-yr) | 5.51 |
| h-index | 72 |
| i10-index | 763 |
| Article processing charge | $2,950 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications. They are highly customizable to the particular needs of the application, like being learned with respect to different loss functions. This article gives a tutorial introduction into the methodology of gradient boosting methods…
Intrinsic motivation, centrally involved in spontaneous exploration and curiosity, is a crucial concept in developmental psychology. It has been argued to be a crucial mechanism for open-ended cognitive development in humans, and as such has gathered a growing interest from developmental roboticists in the recent years. The goal of this paper is threefold. First, it…
Natural control methods based on surface electromyography (sEMG) and pattern recognition are promising for hand prosthetics. However, the control robustness offered by scientific research is still not sufficient for many real life applications, and commercial prostheses are capable of offering natural control for only a few movements. In recent years deep learning revolutionized several fields…
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. It is worth noting that the application of BCI is not limited to medical applications, and hence, the research in this field has gained due attention. Moreover, the significant number of related publications over the past two decades…
In order to endow robots with human-like abilities to characterize and identify objects, they must be provided with tactile sensors and intelligent algorithms to select, control, and interpret data from useful exploratory movements. Humans make informed decisions on the sequence of exploratory movements that would yield the most information for the task, depending on what…
