ROBOMECH Journal

Scope & Guideline

Elevating Research Standards in Robotics and AI Community

Introduction

Explore the comprehensive scope of ROBOMECH Journal through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore ROBOMECH Journal in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2197-4225
PublisherSPRINGERNATURE
Support Open AccessYes
CountrySwitzerland
TypeJournal
Convergefrom 2014 to 2024
AbbreviationROBOMECH J / Robomech J.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The ROBOMECH Journal focuses on advancing the field of robotics and mechatronics through innovative research and applications. Its scope encompasses a variety of topics that integrate mechanical engineering, control systems, artificial intelligence, and robotics to address practical challenges in diverse environments.
  1. Robotics and Automation:
    The journal emphasizes the design, control, and application of robotic systems in various domains, including industrial, medical, and service robots.
  2. Mechatronic Systems and Control:
    Research related to the integration of mechanical, electronic, and software components to create advanced mechatronic systems is a core focus, highlighting control methodologies and system dynamics.
  3. Soft Robotics and Actuation Techniques:
    The journal explores innovative actuation methods, particularly soft actuators and biomimetic designs, which enhance flexibility and adaptability in robotic systems.
  4. Artificial Intelligence in Robotics:
    Application of AI techniques, including machine learning and neural networks, for improving robotic perception, decision-making, and autonomous operation.
  5. Human-Robot Interaction:
    The journal addresses the design and implementation of systems that facilitate effective interaction between humans and robots, emphasizing usability and user experience.
  6. Sensor Technologies and Data Fusion:
    Research on advanced sensor systems and data fusion techniques that improve the environmental perception and situational awareness of robotic systems.
  7. Mobile and Autonomous Systems:
    Focus on the development of mobile robotics, including navigation, localization, and obstacle avoidance, crucial for applications in dynamic environments.
The ROBOMECH Journal is currently experiencing growth in several emerging and trending research areas, reflecting the evolving landscape of robotics and its applications. These themes indicate where the field is heading and highlight the journal's commitment to addressing contemporary challenges.
  1. Neural Networks and Machine Learning:
    There is an increasing trend in the application of neural networks and machine learning techniques for various robotic tasks, including perception, control, and decision-making, showcasing the integration of AI in robotics.
  2. Soft Robotics:
    Soft robotics is gaining traction, with more studies focusing on soft actuators and materials that mimic biological organisms, enabling robots to interact safely and effectively with humans and their environments.
  3. Human-Centric Robotics:
    Research emphasizing human-robot interaction and collaboration is on the rise, indicating a shift towards developing robots that work alongside humans in shared environments.
  4. Teleoperation and Remote Control Systems:
    With advancements in communication technologies, there is a growing interest in teleoperation systems that enhance remote control capabilities, particularly in hazardous environments.
  5. Multi-modal Sensing and Perception:
    The integration of various sensing modalities to improve environmental understanding and responsiveness in robots is increasingly prevalent, reflecting the need for more sophisticated perception systems.
  6. Robotics for Health and Rehabilitation:
    Emerging applications of robotics in healthcare, including rehabilitation devices and assistive technologies, highlight the journal's focus on socially impactful research.
  7. Game Theory and Robotics:
    The application of game-theoretic approaches to robotic maneuvering and decision-making is gaining interest, reflecting a trend towards strategic interaction models in multi-robot systems.

Declining or Waning

While the ROBOMECH Journal has seen significant growth in certain areas, some themes appear to be declining in prominence or frequency of publication. This shift may reflect changing priorities in the field or the maturation of certain technologies.
  1. Traditional Mechanical Systems:
    Research focused solely on conventional mechanical systems without integration of advanced control or sensing technologies is becoming less frequent as the field advances towards more intelligent and adaptive systems.
  2. Low-level Control Algorithms:
    There is a noticeable decrease in publications centered around basic control algorithms, as the focus shifts towards higher-level decision-making processes and AI-driven approaches.
  3. Static Robotics Applications:
    Studies that emphasize static or non-mobile robotic applications are declining, with more emphasis now on dynamic and mobile systems capable of operation in real-world environments.
  4. Basic Robotic Components:
    Research on fundamental robotic components, such as simple actuators and gears, is less prevalent, as the field moves towards integrated systems with multi-functional capabilities.

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