Four challenges and opportunities for AI and robotics

KEYWORDS: robotics, artificial intelligence Artificial intelligence (AI) has been the subject of considerable hype for several years, but is the manufacturing industry ready to move to the next stage and focus on how it can be sustainably implemented on the factory floor in robotics and industrial a...

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Bibliographic Details
Published inControl Engineering Vol. 67; no. 7; p. 7
Format Trade Publication Article
LanguageEnglish
Published Barrington CFE Media 01.07.2020
Subjects
Algorithms
Artificial intelligence
Automation
Collaboration
Decision making
Downtime
Human error
Machine learning
Manufacturing
Manufacturing engineering
Robotics
Robots
Europe
Online AccessGet full text
ISSN0010-8049
2163-4076

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Summary:KEYWORDS: robotics, artificial intelligence Artificial intelligence (AI) has been the subject of considerable hype for several years, but is the manufacturing industry ready to move to the next stage and focus on how it can be sustainably implemented on the factory floor in robotics and industrial automation applications? Increased efficiency through self-learning algorithms With the move from mass customization to a high-mix, low-volume approach, efficiency must be improved by reducing human errors and machine downtime. The new generation of robots can learn from machine operators and collaborate with collaborative robots on a circular production line.
ISSN:0010-8049
2163-4076