Journal of Applied Autonomous Intelligent Systems and Robotics (abbreviated as JAAISR) is a bi-annual journal that published by the Indonesian Society of Applied Science (ISAS) with aims to encourage innovative and potential researchers to share their new ideas and to publish high quality articles in the field of autonomous systems, system intelligences and robotics. It primarily focuses on discovering new methods, analyzing, applying and improving the existing or the state of the art technologies on a real implementation.

JAAISR is a high quality blind peer-review journal for ensuring contribution on innovative ideas and concepts, originality, new discoveries, relevance, improvements and presentation, as well as novel applications. Papers which present a real implementation will be highly appreciated and recommended. Topic of interest for the scientific papers include but are not limited to:

  • Autonomous Systems and Its Implementation
    • Real-Time Embedded Systems
    • Control System Engineering
    • Modern Control and System Identification
    • Intelligent and Vision Systems
    • Multisensor and Decision Systems
    • Machine Learning
  • System Intelligence and Its Implementation
    • Artificial Intelligence and Deep Learning
    • Object Detection and Tracking
    • Human Face Recognition
    • Human Action Recognition
    • Human Behavior Recognition
    • Voice and Speech Recognition
    • Cyber Security
  • Robotics and Its Implementation
    • Industrial Robots
    • Service Robots
    • Collaborative Robots
    • Swarm Robots
    • Social Robots
    • Human-Robot Interaction
    • Intelligent Control and Artificial Intelligent of Autonomous Robots
    • Humanoid Robots/Vehicles
    • Legged Robots/Vehicles
    • Wheeled Robots/Vehicles
    • Flying Robots/Vehicles
    • Underwater Robots/Vehicles
    • Sensor and Actuators of Robots
    • Sensor Fusion
    • Motion and Path Planning
    • Biomechatronics and Neuro Robotics

JAAISR follows the open access policy that allows the published articles freely access. All accepted papers will be published online for easy access from anywhere.