Unmanned Systems

Scope & Guideline

Shaping the Landscape of Control and Optimization

Introduction

Delve into the academic richness of Unmanned Systems with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2301-3850
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 2013 to 2024
AbbreviationUNMANNED SYST / Unmanned Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The journal 'Unmanned Systems' focuses on advancing the field of unmanned vehicle technologies, addressing both theoretical and practical aspects of their design, control, and application. It aims to facilitate interdisciplinary research that contributes to the development of unmanned systems, including aerial, terrestrial, and underwater vehicles.
  1. Control Systems and Algorithms:
    Research in this area focuses on the development and optimization of control strategies for unmanned systems, including adaptive control, robust control, and reinforcement learning approaches.
  2. Navigation and Path Planning:
    This scope encompasses innovative methodologies for autonomous navigation, including machine learning, optimization techniques, and real-time path planning algorithms for various environments.
  3. Sensor Integration and Perception:
    Studies in this area explore the integration of various sensors (e.g., LiDAR, cameras) for improved perception, localization, and mapping capabilities in unmanned systems.
  4. Multi-Agent Systems and Coordination:
    Research on coordination strategies for fleets of unmanned vehicles, including game-theoretic approaches, formation control, and collaborative task allocation.
  5. Applications of Unmanned Systems:
    This scope covers diverse applications of unmanned systems, ranging from agriculture and surveillance to disaster response and environmental monitoring.
  6. Modeling and Simulation:
    Contributions in modeling and simulation techniques for unmanned systems to predict performance and assess system behavior in various scenarios.
The journal has recently seen a surge in specific research themes that reflect current technological advancements and societal needs. These emerging scopes are vital as they align with the future directions of unmanned systems.
  1. Autonomous Navigation and Machine Learning:
    There is a growing trend towards integrating machine learning techniques for enhancing autonomous navigation capabilities, reflecting the demand for smarter and more adaptable unmanned systems.
  2. Swarm Intelligence and Cooperative Systems:
    Research on swarm intelligence and cooperative multi-agent systems is on the rise, emphasizing the importance of collaborative strategies for efficiency and effectiveness in complex environments.
  3. Real-Time Data Processing and Sensor Fusion:
    An increasing focus on real-time data processing techniques and sensor fusion methods is evident, driven by the need for improved situational awareness and decision-making in unmanned operations.
  4. Robustness and Fault-Tolerant Control:
    The development of robust and resilient control systems that can handle uncertainties and faults is gaining prominence, especially in safety-critical applications.
  5. Application-Specific Innovations:
    Emerging research is increasingly targeting specific applications, such as precision agriculture, disaster response, and environmental monitoring, reflecting a shift towards practical and impactful implementations.

Declining or Waning

While the journal continues to thrive in many research areas, some themes have seen a decline in focus over recent publications. These waning scopes reflect shifts in research priorities and advancements in technology.
  1. Traditional Control Techniques:
    There appears to be a reduced emphasis on classical control methods, as more researchers are gravitating towards adaptive and learning-based control approaches.
  2. Basic UAV Design and Fabrication Studies:
    Research focusing solely on the fundamental design and construction of UAVs without integrating advanced technologies or applications is becoming less prevalent.
  3. Static Path Planning Algorithms:
    The interest in static path planning methodologies seems to be waning as dynamic and adaptive planning techniques gain traction due to the need for real-time responsiveness.
  4. Single-Agent Systems:
    There is a noticeable shift away from research on single-agent systems towards multi-agent systems, highlighting a trend towards collaborative and swarm technologies.
  5. Environmental Impact Studies:
    While important, studies solely focused on the environmental impact of UAV operations are being overshadowed by more innovative applications and technological advancements.

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