Aims & Scope

Aims

Autonomous Systems & Applications (ASA) is a peer-reviewed journal dedicated to advancing the theory, design, and deployment of autonomous systems across diverse domains.

The journal aims to serve as a high-impact platform for disseminating cutting-edge research that integrates artificial intelligence, control theory, robotics, model-based and data-driven methodologies to enable intelligent, adaptive, and trustworthy autonomous solutions. It particularly emphasizes interdisciplinary innovations that bridge fundamental research with real-world applications, addressing complex challenges in dynamic, uncertain, and large-scale environments.

Autonomous Systems & Applications（ASA）is published quarterly online by Scilight Press.

Scope

The journal welcomes original research articles, reviews, and perspectives covering, but not limited to, the following areas:

  • Foundations of Autonomous Systems

Theoretical frameworks, architectures, and algorithms for autonomy, including perception, planning, reasoning, decision-making, signal processing, control, and execution under uncertainties.

  • Artificial Intelligence for Autonomy

Machine learning, deep learning, reinforcement learning, generative models, and hybrid AI approaches tailored for autonomous systems.

  • Robotics and Intelligent Machines

Autonomous robots (ground, aerial, marine), human-robot interaction, swarm intelligence, and multi-agent coordination.

  • Autonomous Vehicles and Mobility Systems

Self-driving cars, unmanned aerial vehicles (UAVs), autonomous shipping, and intelligent transportation systems.

  • Cyber-Physical and Embedded Systems

Integration of sensing, computation, communication, and control in autonomous and semi-autonomous platforms.

  • Edge Intelligence and Distributed Autonomy

Edge computing, federated learning, and decentralized decision-making for scalable autonomous systems.

  • Safety, Security, and Trustworthiness

Verification and validation, robustness, explainability, ethical AI, fault/attack detection and diagnosis, fault tolerance and cyber resilience against physical faults and adversarial threats.

  • Human-Centered Autonomy

Human-in-the-loop systems, collaborative autonomy, cognitive modeling, and socio-technical considerations.

  • Applications Across Domains

Autonomous systems in smart cities, healthcare, agriculture and forestry, low-altitude economy, manufacturing, energy and power systems, environmental monitoring, emergency responses, and defense.

  • Emerging Topics

Digital twins for autonomous systems, embodied AI, large language models (LLM), neuromorphic computing, quantum-enhanced autonomy, bio-inspired intelligent systems, and other emerging paradigms for autonomous systems.