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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

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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. (2022), "The role of machine learning in robotics", Industrial Robot, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IR-11-2022-0279

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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