Journal of Robotics, Automation and Smart Systems
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning focuses on developing algorithms that enable robots and systems to learn, adapt, and perform intelligent tasks. AI and ML support pattern recognition, predictive analytics, and automation of decision-making. They enhance object detection, navigation, and robotic control through deep learning models. By analyzing massive datasets, AI systems identify trends and optimize robotic performance. These technologies power applications in industrial automation, smart systems, and autonomous platforms. With continuous advancements, AI and ML are reshaping robotics innovation and enabling smarter, more efficient operations.
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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Useful Links
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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