Journal of Robotics, Automation and Smart Systems
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.
Article Processing Timeline
| 2-5 Days | Initial Quality & Plagiarism Check |
| 15 Days |
Peer Review Feedback |
| 85% | Acceptance Rate (after peer review) |
| 30-45 Days | Total article processing time |
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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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