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International Journal of Advanced Robotics and Automation Technology Cover

International Journal of Advanced Robotics and Automation Technology

| Peer-Reviewed Journal (Refereed Journal) | Online

About the Journal

International Journal of Advanced Robotics and Automation Technology is a peer-reviewed online journal launched in 2023 that aims to strengthen scientific communication among the world-class industries and intuitions that are working day and night to bring revolutionary changes in the field of automation. Journal largely covers all the man-made and industrial development localized or geographically distributed. Automation system broadly includes industrial, factory, or building automation, robotics, hydraulics, and fields related to automation technologies. Review articles, original research papers, and other forms of comprehensive scientific communication are encouraged.

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Journal Information

Title: International Journal of Advanced Robotics and Automation Technology
Abbreviation: ijarat
Issues Per Year: 2 Issues
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJARAT
Starting Year: 2023
Subject: Engineering
Publication Format: Online
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijarat maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Arindam Kumar Chanda, Dean and Campus Director

Delhi Skill and Entrepreneurship University, New Delhi, New Delhi, India,

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Latest Articles

Ahead of Print

Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation

Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in complex environments.

Automated guided vehicles (AGVs), industrial automation, autonomous navigation, sensor fusion, LiDAR, artificial intelligence, Industry 4.0, Internet of Things (IoT), predictive maintenance, swarm intelligence, deep reinforcement learning

Design and Development of Screw Detection System : A case study

This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly

Screw detection, R-CNN, robotic vision, automated disassembly, hough transform, impedance sensor, machine learning, smart manufacturing

Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0

Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment .

Industry 5.0 framework, collaborative robot systems, human–machine cooperation, smart industrial automation, safety-aware robotics, energy-efficient manufacturing, digital twin simulation, explainable AI in Robotics

AWPRATOR: Autonomous Waste Picking Robot and Tracking of Routes

Traditional waste management systems, especially in urban and semi-urban areas, relies heavily on manual methods like manual collection of waste, and fossil-fuel based garbage trucks.

Autonomous waste picking, sensor-based navigation, robotic arm, inbuilt segregation, electric mobility, real-time monitoring, adaptive waste management

Automatic Flame Detection and Tracking

Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression.

Arduino UNO, robot, flame sensor, fire extinguisher, water pump, motor driver

Xypher Bot: Autonomous Surveying Robot

Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects.

Autonomous robot, height measurement, laser pointer, object detection, surveying