ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Scope & Guideline

Elevating Industry Standards with Cutting-Edge Research

Introduction

Welcome to the ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0736-5845
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1984 to 1994, from 1996 to 2025
AbbreviationROBOT CIM-INT MANUF / Robot. Comput.-Integr. Manuf.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

The journal 'ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING' focuses on advancing the field of robotics and its integration within manufacturing processes. It emphasizes the development of innovative methodologies, technologies, and applications that enhance productivity, efficiency, and safety in industrial environments.
  1. Robotic Automation and Control Systems:
    Research in this area includes the design and implementation of robotic systems that automate manufacturing processes, focusing on control strategies, trajectory planning, and real-time monitoring.
  2. Human-Robot Collaboration:
    The journal explores methodologies for effective human-robot interaction, enhancing safety and ergonomics, and developing collaborative systems that integrate human operators with robotic assistants.
  3. Digital Twin and Smart Manufacturing:
    Papers often discuss the use of digital twin technologies to simulate, monitor, and optimize manufacturing processes, providing insights into system performance and predictive maintenance.
  4. Advanced Manufacturing Techniques:
    This includes research on innovative machining methods, additive manufacturing, and the application of robotics in complex manufacturing tasks.
  5. Machine Learning and AI in Robotics:
    The journal features studies on the application of machine learning and artificial intelligence to improve robotic perception, decision-making, and adaptive control in manufacturing environments.
  6. Sustainable and Efficient Manufacturing Practices:
    Research aimed at optimizing manufacturing processes for energy efficiency, waste reduction, and overall sustainability is a key focus area.
Recent publications in the journal indicate a dynamic evolution of research themes, with several areas gaining traction and reflecting contemporary challenges and technological advancements in robotics and manufacturing.
  1. Integration of AI and Robotics:
    A notable trend is the increasing integration of artificial intelligence with robotics, focusing on deep learning algorithms for improved perception, decision-making, and autonomous operation in manufacturing.
  2. Robotics for Advanced Manufacturing:
    There is a growing emphasis on robotics applications in advanced manufacturing processes, including flexible and adaptive systems that can handle complex tasks and materials.
  3. Human-Centric Robotics:
    Research on human-centric approaches to robotics is on the rise, focusing on ergonomics, collaboration, and the role of human operators in robotic systems.
  4. Digital Twins and Predictive Analytics:
    The use of digital twins for real-time monitoring, predictive maintenance, and optimization of manufacturing processes is rapidly increasing, signifying a shift towards more intelligent manufacturing systems.
  5. Sustainability in Robotics:
    There is a burgeoning interest in sustainable practices within robotics and manufacturing, including energy-efficient systems and environmentally friendly materials.
  6. Cloud and Edge Computing in Manufacturing:
    The incorporation of cloud and edge computing technologies for enhanced data processing, real-time analytics, and improved connectivity in robotic systems is gaining significant attention.

Declining or Waning

While the journal maintains a broad scope, certain themes appear to be declining in prominence, reflecting shifts in research focus and technological advancements.
  1. Traditional Manufacturing Techniques:
    Research focusing solely on traditional machining and manufacturing techniques has decreased as the field shifts towards more automated, robotic, and digitally integrated solutions.
  2. Basic Robotic Control Algorithms:
    Papers that concentrate on fundamental control algorithms without integration into broader systems or applications are becoming less common, as there is a greater emphasis on advanced, adaptive control techniques.
  3. Low-Level Robotic Perception:
    Studies that deal with low-level perception tasks without incorporating higher-level decision-making or contextual understanding are fading, as the trend moves towards more intelligent, context-aware robotic systems.

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