Advanced Intelligent Systems

Scope & Guideline

Advancing Knowledge at the Frontier of Intelligent Systems.

Introduction

Immerse yourself in the scholarly insights of Advanced Intelligent Systems 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
ISSN-
PublisherWILEY
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationADV INTELL SYST-GER / Adv. Intell. Syst.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The journal "Advanced Intelligent Systems" focuses on the intersection of intelligent systems and advanced technologies, particularly in robotics, soft materials, and artificial intelligence. It aims to promote innovative research that integrates these domains to create smarter, more efficient systems across various applications.
  1. Soft Robotics and Actuation Technologies:
    Research in this area explores the design, control, and application of soft robotic systems, highlighting unique actuation methods such as pneumatic, hydraulic, and electroactive materials that mimic biological systems.
  2. Artificial Intelligence and Machine Learning Applications:
    The journal publishes studies that utilize AI and machine learning to enhance system performance, including algorithms for data analysis, decision-making, and control in intelligent systems.
  3. Bioinspired Design and Biomimicry:
    Many papers focus on bioinspired approaches, drawing lessons from nature to develop innovative robotic systems and materials that improve functionality and adaptability in complex environments.
  4. Human-Robot Interaction and Collaboration:
    Research on improving the interaction between humans and robots, including intuitive control systems, haptic feedback, and collaborative work environments, is a key focus area.
  5. Neuromorphic Computing and Intelligent Materials:
    This area examines the development of computing systems that mimic neural processes, including memristors and other materials that can learn and adapt, enhancing the capabilities of intelligent systems.
  6. Multimodal Sensing and Feedback Systems:
    The integration of various sensing modalities to enhance the perception and interaction capabilities of robotic systems is emphasized, enabling them to operate effectively in dynamic environments.
The journal has identified several emerging themes that reflect the current trends in research and technology, indicating a shift towards more interdisciplinary and innovative approaches.
  1. Soft and Adaptive Materials:
    Research on soft materials and their applications in robotics is gaining significant traction, focusing on materials that can change properties in response to environmental stimuli.
  2. AI and Machine Learning Integration:
    There is an increasing emphasis on integrating AI and machine learning into robotics and intelligent systems, enhancing their capabilities in perception, decision-making, and adaptability.
  3. Collaborative Robotics:
    Studies focusing on collaborative robots (cobots) that work alongside humans in various environments are emerging, reflecting the growing interest in human-robot teamwork and interaction.
  4. Wearable and Mobile Robotics:
    Research on wearable robotics and mobile systems is trending, focusing on their applications in healthcare, rehabilitation, and personal assistance, highlighting their potential for improving quality of life.
  5. Sustainable and Eco-friendly Robotics:
    There is a rising interest in sustainable technologies and eco-friendly materials in robotics, addressing environmental concerns and promoting green practices in the development of intelligent systems.

Declining or Waning

While the journal continues to thrive in numerous areas, certain themes have shown a decline in prominence, reflecting shifts in research interests and technological advancements.
  1. Traditional Rigid Robotics:
    There is a noticeable decrease in publications focused on traditional rigid robotic systems, as the field increasingly shifts towards more flexible and adaptive soft robotics.
  2. Conventional Control Systems:
    Research centered on classical control methods is waning as more adaptive and AI-driven approaches gain traction, leading to a decline in interest in traditional control techniques.
  3. Basic Sensor Technologies:
    Papers focusing solely on basic sensor technologies without integration into intelligent systems or advanced applications have become less frequent, as the field moves towards more complex, multimodal sensing solutions.
  4. Static Robotics Applications:
    Applications involving static or non-interactive robotics are declining, as there is a growing emphasis on dynamic, interactive systems that can adapt to changing environments and user needs.

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