Abstract
Machine learning is a vital part of today's world. Although the current Machine Learning slogan is “big data is required for a smarter AI”. All Artificial Intelligence learning techniques require the training of algorithms with huge data. Collecting and storing this data takes time and requires increasing computer memory. In Industry 5.0, human-robot collaboration is a challenge for artificial intelligence (AI) and its subdomains. Indeed, integration of its domains is required. Many AI techniques are needed, ranging from visual processing to symbolic reasoning, task planning to mind building theory, reactive control to action recognition and learning. Otherwise, the main two obstacles to this natural workflow interaction are big data memorization and time Learning that grows exponentially with the problem complexity especially. In this article, we propose a new approach for training Cobots from Small Amount of Data in the context of industry 5.0 based on common-sense capability inspired by human learning.
Highlights
Despite its economic progress, all industrial revolutions had an impact on the labor market with the goal of replacing human labor with machines
Artificial systems with common sense are generating a lot of interest in various fields of cognitive science and artificial intelligence to engineer common-sense reasoning into artificial agents in ways inspired by human reasoning
Isn't it time to reverse the trend and employ techniques and tools based on small data sets and the integration of a common-sense computational model tailored to each area of interest?
Summary
All industrial revolutions had an impact on the labor market with the goal of replacing human labor with machines. Industry 5.0 will transform the labor market by emphasizing the central role of humans and encouraging collaboration between humans and a new generation of robots known as "collaborative robots" or "cobots". These cobots are designed to work alongside their human counterparts and, more importantly, help them accomplish common tasks in real world. They are user-friendly and their key function is to provide physical assistance to operators by performing unpleasant and risky activities.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
