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Journal of Robotics, Automation and Smart Systems

P e e r - R e v i e w e d  
Annual (One issue per year)

Computer Vision and Machine Vision

Computer Vision and Machine Vision focuses on enabling machines to capture, interpret, and analyze visual information for autonomous decision-making. Vision algorithms support object detection, tracking, inspection, and navigation. In robotics, machine vision improves accuracy in manipulation, quality control, and environment perception. Deep learning enhances visual recognition, enabling robots to operate effectively in complex surroundings. These technologies power applications such as autonomous vehicles, drones, and industrial automation. Machine vision is essential for developing systems with advanced visual intelligence.

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English Publication Language
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17% Acceptance Rate
<18% Similarity Screening Guideline
Open Access Access Model

All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.

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    • Journal Highlights

    Robotics Engineering Intelligent Automation Autonomous Systems Artificial Intelligence and Machine Learning Human-Robot Interaction Industrial Robotics Smart Manufacturing and Industry 4.0 Internet of Things -IoT Cyber-Physical Systems Computer Vision and Machine Vision UAVs and UGVs - Unmanned Aerial and Ground Vehicles Robotic Sensors and Actuators Autonomous Navigation and Path Planning Embedded and Real-Time Systems Smart Cities and Smart Infrastructure Robotics in Healthcare Agricultural and Service Robotics Robotic Manipulation and Control Edge and Cloud Robotics Safety, Ethics and Human-Centric Automation

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