The role of machine learning in robotics

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.

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