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.

Research on Multi-Hole Localization Tracking Based on a Combination of Machine Vision and Deep Learning

“…In addition, as such systems are able to overcome the inconsistencies associated with human eye standards, they can be customized to meet higher digital standards in industrial quality control and achieve performance levels beyond the limits of the human eye with respect to speed, spectrum recognition, resolution, sensitivity, and reliability. In short, the introduction of machine vision has greatly improved automation and intelligence on production lines [13,14]. Zhao [15] used the SIFT algorithm, Kalman filtering algorithm, and updating the size of the kernel window width to study the algorithm for target tracking of train hooks based on vision, and the results of the video tracking run concluded that the use of target tracking algorithms can be adapted to the working environment of the train-hook picking robot.…”