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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)

Autonomous Navigation and Path Planning

Autonomous Navigation and Path Planning focuses on enabling robots to move safely and efficiently through dynamic environments. These systems use SLAM, GPS, LiDAR, and computer vision to understand surroundings and avoid obstacles. AI-based algorithms generate optimal routes and adjust paths in real time. Navigation technology supports drones, autonomous vehicles, and mobile robots across industries. Reliable path planning improves mission execution, operational safety, and multi-robot coordination. It is a critical component of fully autonomous mobility systems.

 

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EDITORIAL & PUBLICATION INFORMATION

English Publication Language
Single-Blind Peer-Review Model
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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