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The role of machine learning in robotics

Robert Bogue (Consultant, Okehampton, UK)

Industrial Robot

ISSN: 0143-991x

Article publication date: 8 December 2022

Issue publication date: 17 February 2023

192

Abstract

Purpose

This paper aims to illustrate the growing role of machine learning techniques in robotics.

Design/methodology/approach

Following an introduction which includes a brief historical perspective, this paper provides a short introduction to machine learning techniques. It then provides examples of robotic machine learning applications in agriculture, waste management, warehouse automation and exoskeletons. This is followed by a short consideration of applications in future generations of self-driving vehicles. Finally, brief conclusions are drawn.

Findings

Machine learning is a branch of artificial intelligence and the topic of extensive academic study. Recent years have seen machine learning techniques being applied successfully to a diversity of robotic systems, most of which involve machine vision. They have imparted these with a range of unique or greatly improved operational capabilities, allowing them to satisfy all manner of new applications.

Originality/value

This provides a detailed insight into how machine learning is being applied to robotics.

Keywords

Citation

Bogue, R. (2023), "The role of machine learning in robotics", Industrial Robot, Vol. 50 No. 2, pp. 197-202. https://doi.org/10.1108/IR-11-2022-0279

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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