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International Journal of Robotics and Automation in Mechanics Cover

International Journal of Robotics and Automation in Mechanics

| Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Robotics and Automation in Mechanics International Journal of Robotics and Automation in Mechanics is a peer-reviewed hybrid open-access journal launched in 2015 that provides a forum for publishing original research articles and comprehensive or interdisciplinary reviews on the topics of utmost importance. The journal promotes the exchange of ideas and communicates significant findings of recent or immediate importance that interest the researcher and also contributes to the formative research that is capable of shaping society. The journal ensures that the experimental and theoretical work under its scope is equally important.

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Journal Information

Title: International Journal of Robotics and Automation in Mechanics
Abbreviation: ijram
Issues Per Year: 2 Issues
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJRAM
Starting Year: 2023
Subject: Engineering
Publication Format: Hybrid Open Access
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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ijram 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. Ramabalan S, Professor

Pillay Engineering College, Tamil Nadu, India,

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Latest Articles

Ahead of Print

Comparative Analysis of Serial and Parallel Robot Mechanisms for Industrial Automation

Serial and parallel manipulators represent two major mechanical architectures in industrial automation, each with distinct strengths and trade-offs.

Serial manipulators, parallel manipulators, error propagation, Stewart-Gough hexapod, robot

Kinematic and Dynamic Modelling of a 6-DOF Robotic Manipulator for Industrial Applications

The rapid evolution of industrial automation has intensified the need for highly accurate, flexible, and intelligent robotic systems capable of operating in dynamic and demanding environments.

6-DOF manipulator, Denavit-Hartenberg parameters, Euler-Lagrange dynamics, industrial robotics, automation, motion control

A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy

Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots.

Insect, robot, artificial intelligence, sensors, bio-inspired

Enhancing Surface Roughness in the Taguchi Method for Turning Alloy Steel in Wet and Dry Environments

The present investigation focuses on evaluating the performance of turning operations in alloy steel with particular emphasis on the effect of cutting parameters on surface roughness. In the machining of alloy steel, tool life and surface integrity are significantly influenced by parameters such as spindle speed, depth of cut, and feed rate.

Turning, orthogonal array, roughness, spindle, Taguchi method, signal-to-noise.

The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications

Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts.

Artificial intelligence, autonomous systems, computer vision, machine learning, natural language processing, robotics

Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems

Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies

Sensor fusion, robotic perception, autonomous navigation, tactile feedback, multi-modal sensing, bio-inspired robotics