AI and Robotics: Designing Intelligent and Adaptive Robots for Industrial Automation

Authors

  • Abuzar Yaqoob Mulla  Keraleeya Samajam’s Model College, Khambalpada Road, Thakurli, Dombivli (East), Maharashtra, India
  • Gauri Ansurkar  Assistant Professor, Keraleeya Samajam’s Model College, Khambalpada Road, Thakurli, Dombivli (East), Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST523102126

Keywords:

AI, Robotics, Industrial Automation, Intelligent Robots, Adaptive Robots, Machine Learning, Neural Networks, Human-Robot Collaboration, Employment, Case Study.

Abstract

Intelligent and adaptive robots have emerged as a key technology for industrial automation, offering the ability to improve efficiency, quality, and flexibility in manufacturing and other industrial applications. This paper provides an overview of the design considerations for intelligent and adaptive robots, including sensor selection and integration, control algorithms and machine learning techniques, human-robot interaction design, and safety considerations. We present case studies from various industries, highlighting the benefits and challenges of using intelligent and adaptive robots in industrial automation. Finally, we discuss the challenges and future directions of intelligent and adaptive robots in industrial automation, comparing the advantages and disadvantages of traditional automation techniques and outlining the impact of these robots on the future of work and society.

References

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International Journal of Scientific Research in Science and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abuzar Yaqoob Mulla, Gauri Ansurkar "AI and Robotics: Designing Intelligent and Adaptive Robots for Industrial Automation" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 2, pp.817-824, March-April-2023. Available at doi : https://doi.org/10.32628/IJSRST523102126