Intelligent Service Robotics

Scope & Guideline

Exploring Frontiers: Bridging AI and Robotics for a Smarter World

Introduction

Immerse yourself in the scholarly insights of Intelligent Service Robotics 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
ISSN1861-2776
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2008 to 2024
AbbreviationINTEL SERV ROBOT / Intell. Serv. Robot.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

The journal 'Intelligent Service Robotics' focuses on the intersection of robotics, artificial intelligence, and intelligent service applications. It aims to advance the understanding and application of intelligent robotic systems across various domains, particularly in service-oriented environments.
  1. Human-Robot Interaction (HRI):
    Research in this area emphasizes the development of robots that can effectively communicate and collaborate with humans, enhancing user experience in various applications such as healthcare, education, and domestic assistance.
  2. Robotic Control and Navigation:
    The journal covers methodologies for robot control, including path planning, obstacle avoidance, and localization techniques. This includes the application of algorithms such as A*, RRT, and reinforcement learning to improve robot autonomy.
  3. Soft Robotics and Actuation Mechanisms:
    A significant focus on soft robotic technologies, exploring novel actuation methods, such as pneumatic and dielectric elastomers, which allow for compliant and adaptable robotic systems.
  4. Robotics in Healthcare and Rehabilitation:
    The journal publishes studies related to robotic systems designed for rehabilitation, assistance, and therapy, particularly focusing on exoskeletons and robotic devices that support physical therapy.
  5. Multi-Agent Systems and Coordination:
    Research on the coordination and collaboration among multiple robots, especially in complex environments, is a core area, addressing challenges in task allocation and cooperative behavior.
  6. Artificial Intelligence Integration:
    The integration of AI techniques, particularly machine learning and deep learning, into robotic systems for improved decision-making and adaptability in dynamic environments.
The journal has identified several emerging trends that reflect the current interests and advancements in the field of intelligent robotics. These themes highlight the journal's focus on innovative solutions and interdisciplinary approaches.
  1. Integration of AI and Robotics:
    A growing trend is the integration of advanced AI techniques, including deep learning and natural language processing, into robotic systems, enhancing their capabilities in perception, decision-making, and human interaction.
  2. Social Robotics and Emotional Intelligence:
    Research focusing on robots designed for social interactions, emphasizing emotional intelligence and the ability to understand and respond to human emotions, is becoming increasingly prominent.
  3. Teleoperation and Remote Robotics:
    With advancements in communication technologies, there is a rising interest in teleoperation systems, especially in healthcare and disaster response, where remote operation of robots is crucial.
  4. Sustainable and Eco-Friendly Robotics:
    Emerging themes also include the development of eco-friendly robotic systems and sustainable practices in robotics, which are increasingly relevant in the context of global environmental challenges.
  5. Robotics in Education and Training:
    The use of robotics as educational tools, particularly in STEM fields, is gaining traction, with a focus on developing interactive and engaging robotic systems for learning.

Declining or Waning

As the field of intelligent robotics evolves, certain themes have shown a decline in publication frequency or relevance. This reflects changing priorities within the research community and advancements in technology.
  1. Traditional Industrial Robotics:
    Research focused primarily on traditional industrial robots and automation systems has decreased in favor of more intelligent and adaptive robotic systems that can operate in unstructured environments.
  2. Basic Robotic Algorithms without AI:
    There has been a noticeable decline in papers that focus solely on basic robotic algorithms without incorporating AI or machine learning techniques, indicating a shift towards more sophisticated approaches.
  3. Static Robot Applications:
    Applications of robotics in static or fixed environments, such as simple conveyor systems or basic robotic arms, are being overshadowed by research on mobile and adaptable robots capable of interacting with dynamic environments.

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