Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 10, Issue 2


Published
on


Pages

1175-1179


DOI

Article

Autonomous Robots in Manufacturing


Authors

Prashant Singh Affiliation:
Assistant Professor, Electronics & Communication Engineering, Arya Institute of Engineering and Technology
and Dinesh Kumar Affiliation:
Assistant Professor, Electrical Engineering, Arya Institute of Engineering Technology & Management


Abstract

The abstract for a research paper on "Autonomous Robots in Manufacturing" envisions a comprehensive exploration into the transformative impact of autonomous robotic systems on modern manufacturing processes. This research investigates the integration of autonomous robots within manufacturing environments, focusing on their capabilities, implications, and the broader ramifications for efficiency, safety, and economic factors. The study delves into the technological advancements that enable autonomy in robots, including sensor technologies, machine learning algorithms, and real-time decision-making capabilities. By examining the evolution of these technologies, the research aims to elucidate the current state of autonomous robots in manufacturing and forecast future trends. A substantial portion of the research is dedicated to evaluating the practical applications of autonomous robots in various manufacturing sectors. This includes, but is not limited to, their role in assembly lines, material handling, quality control, and collaborative tasks alongside human workers. The study scrutinizes the effectiveness of autonomous robots in enhancing productivity, reducing errors, and streamlining production processes. Beyond the technological dimensions, the research contemplates the broader implications of autonomous robotics in manufacturing. This encompasses the impact on workforce dynamics, addressing concerns related to job displacement and the evolving skill sets required in the era of automation. Additionally, the study evaluates the economic aspects, considering the return on investment, cost-effectiveness, and long-term sustainability of integrating autonomous robots into manufacturing ecosystems. Ethical considerations are woven into the fabric of the research, exploring questions surrounding the ethical deployment of autonomous robots, the potential for human-robot collaboration, and the implications for worker well-being. The study seeks to provide a balanced perspective on the ethical dilemmas associated with the rise of autonomous systems in manufacturing. In conclusion, this research aspires to contribute a nuanced understanding of the current landscape, challenges, and future trajectories of autonomous robots in manufacturing. The findings aim to inform industry stakeholders, policymakers, and researchers, fostering a dialogue on responsible and effective integration of autonomous robotic technologies in the manufacturing domain.


Keywords

Autonomous Robots, Manufacturing Automation, Robotics in Production, Industrial Robotics, Smart Manufacturing


Citation

Singh, P. & Kumar, D. (2019). Autonomous robots in manufacturing. Turkish Journal of Computer and Mathematics Education, 10(2), 1175–1179.

Published by: Engineering Journals

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