Journal of Robotics Networking and Artificial Life

Scope & Guideline

Fostering Collaboration in Cutting-edge Technologies.

Introduction

Welcome to the Journal of Robotics Networking and Artificial Life 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 Journal of Robotics Networking and Artificial Life, 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
ISSN2352-6386
PublisherALife Robotics Corp Ltd
Support Open AccessNo
CountryJapan
TypeJournal
Convergefrom 2019 to 2023
AbbreviationJ ROBOT NETW ARTIF L / J. Robot Netw. Artif. Life
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressHandadai Higashi 2-8-4, Oita 870-1108, JAPAN

Aims and Scopes

The Journal of Robotics Networking and Artificial Life focuses on advancing the fields of robotics, artificial intelligence, and their integration into various applications. The journal aims to foster interdisciplinary research that combines theoretical foundations with practical applications, showcasing innovations in technology that enhance human life and operational efficiency.
  1. Robotics Engineering and Automation:
    Research in this area includes the design, development, and deployment of robotic systems for various applications ranging from industrial automation to personal assistance.
  2. Artificial Intelligence and Machine Learning:
    The journal emphasizes the application of AI techniques, including deep learning, reinforcement learning, and neural networks, to improve the capabilities of robotic systems and enhance their decision-making processes.
  3. Networking and Communication Technologies:
    This encompasses the study of communication protocols, network security, and collaborative systems that enable robots and AI systems to interact seamlessly with each other and with human operators.
  4. Human-Robot Interaction and Social Robotics:
    Research in this domain focuses on improving the interfaces and interactions between humans and robots, including the development of intelligent assistants and social robots that can engage in meaningful interactions.
  5. Sustainable and Assistive Technologies:
    The journal explores the development of technologies aimed at addressing global challenges, such as environmental sustainability and healthcare solutions, particularly through the use of robots and AI.
Recent publications in the Journal of Robotics Networking and Artificial Life reveal a clear shift towards innovative and interdisciplinary themes that reflect contemporary challenges and technological advancements. These emerging areas signify the journal's commitment to addressing current societal needs through robotics and AI research.
  1. AI-Driven Robotics and Deep Learning Applications:
    There is a significant increase in research utilizing deep learning and AI to enhance robotic functionalities, including perception, decision-making, and learning from environments.
  2. Robotics for Environmental Sustainability:
    Emerging themes include the use of robotics for environmental monitoring, marine debris cleanup, and sustainable agricultural practices, indicating a strong focus on ecological applications.
  3. Human-Centric and Assistive Robotics:
    Research focused on developing robots that assist individuals, particularly in healthcare and rehabilitation, is gaining momentum, highlighting the importance of technology in improving quality of life.
  4. Cybersecurity in Robotics and AI Systems:
    With the rise of connected robotic systems, there has been an increasing focus on securing these technologies against cyber threats, reflecting the need for robust security measures in modern robotics.
  5. Integration of IoT and Robotics:
    The intersection of Internet of Things (IoT) and robotics is emerging as a significant area of study, focusing on enhancing robotic systems with connectivity and smart capabilities to improve operational efficiency.

Declining or Waning

While the Journal of Robotics Networking and Artificial Life continues to thrive in various research areas, certain themes have shown a decline in frequency and prominence over recent years. This may reflect shifting research interests or advancements in technology that have rendered previous topics less relevant.
  1. Traditional Mechanical Robotics:
    Research focused on purely mechanical aspects of robotics, such as kinematics and dynamics of traditional robotic arms, has seen a decline as the field shifts towards more integrated and intelligent systems.
  2. Basic Control Systems without AI Integration:
    There has been a noticeable reduction in publications centered on classical control systems that do not incorporate AI methodologies, as the field moves towards more intelligent and adaptive control strategies.
  3. Non-interactive Robotics Applications:
    Research that focuses on non-interactive or isolated robotic systems is becoming less common, as there is a growing emphasis on collaborative robotics and systems that require interaction with humans or other robots.

Similar Journals

Journal of Field Robotics

Elevating Robotics Research to New Heights
Publisher: WILEYISSN: 1556-4959Frequency: 6 issues/year

Journal of Field Robotics, published by WILEY, is an esteemed peer-reviewed journal focusing on the cutting-edge developments in the area of robotics applied to real-world environments. With an ISSN of 1556-4959 and an E-ISSN of 1556-4967, this journal serves as a vital platform for researchers and professionals keen on advancing the fields of Computer Science Applications and Control and Systems Engineering, where it has earned a prestigious Q1 ranking in both categories as of 2023. The journal, which converges in its studies from 2006 to 2024, showcases original research that enhances the understanding and implementation of robotic systems in various fields, thus promoting innovative solutions to complex challenges. Access to the journal is through subscription-based options, ensuring a rigorous selection of high-quality research articles, reviews, and technical notes that contribute significantly to the academic community. With a solid Scopus ranking—39th out of 817 in Computer Science Applications and 17th out of 321 in Control and Systems Engineering, both in the 95th and 94th percentiles respectively—Journal of Field Robotics is essential reading for anyone interested in the future of robotics technologies and their transformative impact.

International Journal of Semantic Computing

Advancing the Frontier of Semantic Technologies
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1793-351XFrequency: 4 issues/year

The International Journal of Semantic Computing is a premier scholarly publication focused on the intersection of artificial intelligence, computer networks, and linguistics, published by World Scientific Publishing Co PTE Ltd. Since its inception in 2007, this journal has strived to advance the field of semantic computing by promoting innovative research and interdisciplinary collaboration among professionals and academics. With a diverse scope that spans across various categories including Artificial Intelligence, Information Systems, and Linguistics, it boasts commendable rankings, particularly in the fields of Linguistics (77th Percentile) and Linguistics and Language (Rank #259/1167). The journal caters to a broad audience by offering critical insights and cutting-edge studies, thereby contributing significantly to knowledge enhancement in semantic technologies and computational linguistics. Although it does not offer open access options, its rigorous peer-review process ensures the publication of high-quality research that is invaluable for both researchers and students seeking to deepen their understanding in these rapidly evolving areas.

APPLIED INTELLIGENCE

Pioneering practical solutions through applied AI research.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

International Journal of Automation and Computing

Transforming Ideas into Solutions in Automation
Publisher: SPRINGERNATUREISSN: 1476-8186Frequency: 6 issues/year

International Journal of Automation and Computing, published by SPRINGERNATURE, is a premier academic journal dedicated to advancing knowledge in the fields of applied mathematics, computer science applications, control and systems engineering, and modeling and simulation. With an impressive impact factor and consistently ranked in the Q1 Quartile for its respective categories in 2023, the journal is recognized for its high-quality research and contributions to the automation and computing sectors. This journal provides open access to its articles, promoting the dissemination of innovative ideas and methodologies across a global audience. Based in China but serving an international community, the journal is key for researchers, professionals, and students looking to stay at the forefront of automation and computing technologies. Its rigorous peer-review process ensures that published works meet the highest scientific standards, making it an essential resource for those seeking to deepen their understanding and engage in cutting-edge research.

KNOWLEDGE-BASED SYSTEMS

Elevating Knowledge Through Cutting-Edge Research and Applications
Publisher: ELSEVIERISSN: 0950-7051Frequency: 8 issues/year

KNOWLEDGE-BASED SYSTEMS, published by ELSEVIER, is a leading international journal that has established itself as a cornerstone in the fields of Artificial Intelligence, Information Systems and Management, and Software Development. With an impressive track record of over 35 years in publication, this journal is highly regarded for its significant contributions to the understanding and advancement of intelligent systems, providing a platform for innovative research and applications. It boasts a strong impact factor, maintaining a Q1 ranking across multiple categories, including Management Information Systems and Decision Sciences, reflecting its prestige and relevance in the academic community. Researchers and practitioners alike benefit from access to high-quality, peer-reviewed articles that explore the intersection of knowledge management and transformative technologies. The journal's commitment to fostering interdisciplinary research encourages the dissemination of knowledge that shapes the future of intelligent decision-making processes. With a substantial audience that includes professionals, academics, and students, KNOWLEDGE-BASED SYSTEMS continues to be a vital resource for those at the frontier of technological advancement.

AI

Connecting Researchers to Shape the Future of AI
Publisher: MDPIISSN: Frequency: 4 issues/year

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

Journal of Sensor and Actuator Networks

Unlocking potential through open-access research.
Publisher: MDPIISSN: Frequency: 4 issues/year

Journal of Sensor and Actuator Networks is a premier open-access journal published by MDPI, dedicated to advancing the field of sensor and actuator technology since its inception in 2012. With a commitment to disseminating cutting-edge research, the journal offers a platform for articles that explore the latest innovations and applications in the realms of computer networks and communications, control and optimization, and instrumentation. It proudly holds a prestigious Q1 ranking in instrumentation and Q2 rankings in both computer networks and control and optimization as of 2023, emphasizing its significant impact within these domains. The journal is indexed in Scopus and is recognized for its high-quality contributions, with impressive rankings including 9th in control and optimization and 19th in instrumentation. Researchers, professionals, and students seeking to stay at the forefront of sensor and actuator technologies will find a wealth of insightful articles and studies within its pages. As an open-access journal, it ensures that knowledge is widely accessible, fostering collaboration and innovation across the global scientific community. For more information, the journal is based in Basel, Switzerland, situated at ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND.

International Journal of Advanced Robotic Systems

Elevating Robotics Research for a New Era
Publisher: SAGE PUBLICATIONS INCISSN: 1729-8814Frequency:

The International Journal of Advanced Robotic Systems is a premier academic journal, published by SAGE Publications Inc., dedicated to fostering innovation and research in the rapidly evolving field of robotics. With an ISSN of 1729-8814, this Open Access journal has been providing unrestricted access to cutting-edge research since 2004, making it an invaluable resource for researchers, professionals, and students alike. The journal aims to disseminate high-quality, peer-reviewed articles that cover a wide range of topics, including but not limited to robotic systems, automation, artificial intelligence, and sensor technologies. By promoting interdisciplinary collaboration and encouraging novel approaches, the International Journal of Advanced Robotic Systems plays a crucial role in advancing the frontiers of robotics and ensuring its impactful application across various industries. Engaging with this journal not only keeps you at the forefront of the latest developments but also contributes to the global discourse on robotics and its advancements in science and technology.

Artificial Life and Robotics

Catalyzing Insights in Biochemistry and Robotic Technologies
Publisher: SPRINGERISSN: 1433-5298Frequency: 4 issues/year

Artificial Life and Robotics, published by Springer, is a prominent journal in the fields of Artificial Intelligence and Biochemistry, Genetics, and Molecular Biology, with an ISSN of 1433-5298 and E-ISSN of 1614-7456. Established in 2005, the journal has continually contributed to knowledge and innovation in these rapidly evolving disciplines and is recognized for its significant impact, as indicated by its quartile rankings in the 2023 category assessments. The journal is currently positioned in Q4 for Artificial Intelligence and Q3 for General Biochemistry, Genetics and Molecular Biology, with a notable ranking of 138/221 and 262/350 in respective research areas. While it currently does not follow an open access model, it remains a valuable resource for researchers, professionals, and students seeking to advance their understanding and application of artificial life and robotic technologies. With an emphasis on interdisciplinary research, this journal aims to bridge theoretical foundations with practical applications, making it an essential platform for cutting-edge studies and discussions in the field.

Annual Review of Control Robotics and Autonomous Systems

Empowering Innovation in Autonomous Technologies
Publisher: ANNUAL REVIEWSISSN: Frequency: 1 issue/year

Annual Review of Control Robotics and Autonomous Systems, published by ANNUAL REVIEWS, is a premier, peer-reviewed journal dedicated to advancing the field of control, robotics, and autonomous systems. With its E-ISSN of 2573-5144, the journal is recognized for its high-caliber contributions, evidenced by its Q1 ranking in key categories, including Artificial Intelligence, Control and Systems Engineering, and Human-Computer Interaction. Spanning converged years from 2018 to 2024, it serves as an essential resource for researchers, professionals, and students who seek to stay abreast of the latest developments and methodologies impacting these rapidly evolving fields. The journal does not currently offer Open Access options, which enables it to maintain stringent quality control while ensuring that every issue is packed with scholarly articles that meet the highest academic standards. With a focus on interdisciplinary approaches and cutting-edge technologies, the Annual Review of Control Robotics and Autonomous Systems is poised as a critical voice for scholarly discourse, fostering innovation and collaboration in tackling complex challenges of the modern world.