Frontiers in Neurorobotics

Scope & Guideline

Advancing the Intersection of Mind and Machine

Introduction

Immerse yourself in the scholarly insights of Frontiers in Neurorobotics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1662-5218
PublisherFRONTIERS MEDIA SA
Support Open AccessYes
CountrySwitzerland
TypeJournal
Convergefrom 2007 to 2024
AbbreviationFRONT NEUROROBOTICS / Front. Neurorobotics
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND

Aims and Scopes

The journal 'Frontiers in Neurorobotics' focuses on the intersection of neuroscience and robotics, emphasizing the development and application of robotic systems that are inspired by or interact closely with human neurology and behavior. Its core areas include robotic rehabilitation, human-robot interaction, and the application of artificial intelligence in robotic systems.
  1. Neuroscience-Inspired Robotics:
    Research that explores how insights from neuroscience can inform the design and functionality of robotic systems, particularly in enhancing their adaptability and responsiveness to human needs.
  2. Robotic Rehabilitation and Assistive Technologies:
    Development of robotic systems aimed at aiding rehabilitation for individuals with disabilities, particularly those recovering from neurological impairments such as stroke.
  3. Human-Robot Interaction (HRI):
    Studies focusing on the dynamics of interaction between humans and robots, including the design of interfaces, collaborative tasks, and the psychological impacts of such interactions.
  4. Machine Learning and AI in Robotics:
    Utilization of machine learning techniques, particularly deep learning, to enhance robotic perception, decision-making, and autonomy in various environments.
  5. Bio-inspired Control and Learning Systems:
    Research on control systems and algorithms that mimic biological processes, aiming to improve robotic movement and interaction with complex environments.
  6. Multimodal Sensory Integration:
    Exploration of how robots can integrate various sensory inputs (e.g., visual, auditory, tactile) to improve their functionality and interaction capabilities.
The journal has seen a rise in interest in several emerging themes that reflect current technological advancements and societal needs. These trends indicate the evolving landscape of neurorobotics research.
  1. Neurorehabilitation Technologies:
    A surge in studies focusing on the development of robotic systems for rehabilitation, particularly in response to the increasing demand for effective therapies for neurological disorders.
  2. Emotion Recognition and Affective Computing:
    Growing research into how robots can recognize and respond to human emotions, which is crucial for enhancing user experience in assistive and companion robots.
  3. Collaborative Robotics:
    An increase in research surrounding the development of robots that can work alongside humans in various environments, particularly in manufacturing and healthcare, reflecting broader trends in automation.
  4. Adaptive Learning Algorithms:
    Emerging trends in the use of reinforcement learning and other adaptive algorithms that allow robots to learn from their environments and improve their functionality over time.
  5. Human-Centric Robotics Design:
    A focus on designing robotic systems that prioritize user needs and experiences, emphasizing usability and interaction quality, which is becoming increasingly important in the field.
  6. Ethics and Safety in Robotics:
    Emerging discussions around the ethical implications of robotic technologies and ensuring safety in human-robot interactions, as societal concerns about AI and robotics grow.

Declining or Waning

Over recent years, certain themes within 'Frontiers in Neurorobotics' appear to be declining in prominence. This may reflect shifts in research funding, technological advancements, or changing academic interests.
  1. Basic Robotics Research:
    Research focusing on fundamental robotics without a direct application to neuroscience or human interaction seems to be less prevalent, as there is a stronger push towards applied and interdisciplinary studies.
  2. Traditional Control Systems:
    There is a noticeable reduction in publications focused solely on classical control theory in robotics, as more innovative, adaptive, and bio-inspired control methodologies gain traction.
  3. Single-Modal Interaction Studies:
    Research that examines isolated human-robot interaction modalities (like only visual or only auditory) is waning, as the trend shifts towards more complex, multimodal integration approaches.

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