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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)

Robotic Manipulation and Control

Robotic Manipulation and Control focuses on enabling robots to grasp, move, and interact with objects using advanced control algorithms. It studies robotic arms, grippers, and dexterous manipulators to achieve precision handling. Feedback from sensors enhances stability, accuracy, and adaptability. Machine learning improves manipulation in unstructured environments. This field supports industrial automation, assembly tasks, and humanoid robotics. With continuous improvements, robotic manipulation enables complex real-world interactions across diverse sectors.

 

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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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