About the Journal

Robotics, Autonomous, Machine Learning, and Artificial intelligence Journal (RAMLAIJ) is an international, peer-reviewed, open-access academic journal that publishes research across interdisciplinary fields related to robotics, autonomy, machine learning (ML), and artificial intelligence (AI). It provides a platform for academics, researchers, practitioners, and industry professionals to share original research articles, reviews, case studies, and technical innovations that advance both theoretical foundations and practical applications in intelligent technologies.

Aims

The journal aims to:

  • Advance scientific knowledge in intelligent systems and autonomous technologies.

  • Serve as a global forum for high-quality research in robotics, ML, AI, and related areas.

  • Connect theoretical research and practical applications that address real-world challenges in automation, intelligent agents, and learning systems.

Scope

RAMLAIJ publishes research covering (but not limited to) the following topics:

Core Research Areas

  • Robotics: autonomous robotic systems, collaborative robots, mobile robots, swarm robotics.

  • Autonomy & Intelligent Agents: navigation, perception, decision-making, adaptive control.

  • Machine Learning & AI: supervised and unsupervised learning, reinforcement learning, deep learning, explainable AI.

  • Integration and Applications: robotics with AI for healthcare, industrial automation, e-commerce, remote diagnostics, and more.

Interdisciplinary Topics

  • Human-robot interaction

  • Ethical and safety considerations in autonomous systems

  • AI applications in real-world systems and engineering environments

  • Hybrid intelligence combining symbolic reasoning and ML approaches

According to the journal’s announcements and official information:

  • Indexed in Google Scholar — making articles discoverable and citable through this academic search platform.

  • Articles are typically assigned DOIs (Digital Object Identifiers), contributing to research visibility and citation tracking within scholarly ecosystems.

Note: At present, RAMLAIJ does not list indexing in major bibliographic databases such as Scopus or Web of Science (Clarivate) on its site. Researchers should verify inclusion in specific citation indexes directly if required for grant, promotion, or assessment purposes

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