Internet of Things and Machine Learning-Integrated Smart Robotics-Reference-Cited by-同舟云学术

Internet of Things and Machine Learning-Integrated Smart Robotics

Published:2023-06-16 Issue: Volume: Page:240-258
ISSN:2327-0411
Container-title:Global Perspectives on Robotics and Autonomous Systems
language:
Short-container-title:

Author:

Maheswari B. Uma¹,Imambi S. Sagar²,Hasan Dler³^ORCID,Meenakshi S.⁴^ORCID,Pratheep V. G.⁵^ORCID,Boopathi Sampath⁶^ORCID

Affiliation:

1. St. Joseph's College of Engineering, India

2. Koneru Lakshmaih Education Foundation, India

3. University of Salahaddin, Erbil, Iraq

4. R.M.K. Engineering College, India

5. Kongu Engineering College, India

6. Department of Mechanical Engineering, Muthayammal Engineering College, India

Abstract

Robotics has been a mainstay of modern manufacturing, and it is now being employed more and more for surveillance, military, and entertainment applications. While rescue robots are employed to save humans in mining accidents, urban disasters, hostage situations, and explosions, remote-controlled surveillance robots acquire photos and video for specialised objectives. Advanced materials and effective transmissions are used in power management and new generation drive-train systems to boost speed, precision, and longevity. Both barriers with a known shape and those with an unknown shape must be overcome by the system. This requires more power and presents a design difficulty. In this chapter, the internet of things (IoT) and machine learning (ML)-integrated smart robot principles have been explained.

Publisher

IGI Global

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