Journal of Autonomous Systems (JAS) aims to publish high-quality, peer-reviewed research advancing the theory, design, development, evaluation, and deployment of autonomous systems across physical and virtual environments; bridging foundational research and real-world applications and fostering interdisciplinary collaboration, it accepts original research, review articles and technical notes covering a broad spectrum of topics including autonomous robotics for ground, aerial, marine and space platforms, self-driving and intelligent transportation systems, autonomy-oriented artificial intelligence, multi-agent and swarm systems, reinforcement learning and adaptive control, human–robot interaction, autonomous decision-making and planning, sensor fusion and perception, cyber-physical systems, distributed decentralized control, edge AI and embedded intelligence, safety verification for autonomous systems, relevant ethical, legal and social issues, industry-specific autonomous applications in healthcare, defense and agriculture, as well as digital twins for autonomous platforms, with consistent focus on both theoretical progress and practical experimental validation.
