Robotic Intelligence and Automation

Scope & Guideline

Innovating at the Intersection of Robotics and Technology.

Introduction

Immerse yourself in the scholarly insights of Robotic Intelligence and Automation 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
ISSN2754-6969
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2023 to 2024
AbbreviationROBOT INTELL AUTOMAT / ROBOT. INTELL. AUTOM.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

The journal "Robotic Intelligence and Automation" is dedicated to advancing research and development in the fields of robotics, automation, and intelligent systems. It focuses on innovative methodologies and applications that enhance robotic capabilities and their integration into various industries.
  1. Robotic Control Systems:
    Research in this area emphasizes the development of advanced control algorithms for various robotic systems, including soft robots, exoskeletons, and autonomous vehicles, focusing on enhancing precision and adaptability.
  2. Machine Learning and AI in Robotics:
    A core focus on integrating machine learning techniques, such as reinforcement learning and neural networks, to improve robotic decision-making, perception, and task execution.
  3. Human-Robot Interaction:
    Studies aimed at improving collaboration between humans and robots, including task planning and execution, which enhance productivity and safety in shared environments.
  4. Robotic Perception and Sensing:
    Research on advanced sensing technologies and perception algorithms that enable robots to understand and interact with their environments effectively.
  5. Robotic Assembly and Manufacturing:
    Innovations in robotic assembly techniques, including optimization methods for manufacturing processes and assembly line scheduling, to enhance efficiency and accuracy.
  6. Underwater and Aerial Robotics:
    Exploration of specialized applications in underwater and aerial robotics, focusing on unique challenges and solutions in these environments.
Recent publications have highlighted several emerging themes that indicate the journal's evolving focus and the growing importance of specific research areas within robotics and automation.
  1. Adaptive and Smart Control Systems:
    There is an increasing trend towards adaptive control methods that allow robots to learn and modify their behavior in real-time, enhancing their operational efficiency in dynamic environments.
  2. Collaborative Robotics:
    Research on collaborative robots (cobots) that work alongside humans is gaining traction, focusing on enhancing safety, efficiency, and productivity in various industries.
  3. Digital Twin and Simulation Technologies:
    Emerging interest in digital twin technologies for simulating robotic systems and processes, enabling better planning, monitoring, and optimization of robotic operations.
  4. Robotic Learning from Demonstration:
    Growing focus on robots that learn tasks through human demonstration, which is crucial for tasks that require intricate manipulation and adaptability.
  5. Bio-inspired Robotics:
    An emerging trend in designing robots that mimic biological systems, leading to innovative solutions in mobility, manipulation, and environmental interaction.
  6. Sustainable Robotics Solutions:
    Increased emphasis on developing robotic systems that contribute to sustainability, including energy-efficient designs and applications in renewable energy sectors.

Declining or Waning

While the journal continues to evolve, certain themes have become less prominent in recent publications, reflecting shifts in research priorities and technological advancements.
  1. Traditional Manufacturing Automation:
    Research focused on conventional automation methods appears to be declining as more emphasis is placed on intelligent and adaptive systems that leverage AI and machine learning.
  2. Basic Robotics Theory:
    There is a noticeable reduction in publications centered around foundational theories in robotics, as the field moves towards applied research with immediate practical implications.
  3. Simple Robotic Applications:
    Studies exploring basic robotic applications with limited complexity are becoming less frequent, with a shift towards more sophisticated and integrated robotic solutions.

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