AI tools for use in assembly automation and some examples of recent applications2013

Purpose – This paper aims to review seven artificial intelligence tools that are useful in assembly automation: knowledge‐based systems, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case‐based reasoning and ambient‐intelligence.Design/methodology/approach – Each artificial intelligence tool is outlined, together with some examples of their use in assembly automation.Findings – Artificial intelligence has produced a number of useful and powerful tools. This paper reviews some of those tools. Applications of these tools in assembly automation have become more widespread due to the power and affordability of present‐day computers.Research limitations/implications – Many new assembly automation applications may emerge and greater use may be made of hybrid tools that combine the strengths of two or more of the tools reviewed in the paper. The tools and methods reviewed in this paper have minimal computation complexity and can be implemented on small assembly lines, single ...

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

Thank you for reading this post, don't forget to subscribe!

10.1108/01445151311306717

Seven artificial intelligence tools that are useful in assembly automation are reviewed: knowledge‐based systems, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case‐based reasoning and ambient‐intelligence.

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– Review of seven AI tools for assembly automation
– Applications of AI tools in assembly automation

– The paper explores healthcare staff perceptions on the benefits and challenges of using AI predictive tools in clinical decision-making.
– The study identifies opportunities for the application of AI predictive tools in clinical practice.

The paper reviews seven AI tools for use in assembly automation: knowledge-based systems, fuzzy logic, automatic knowledge acquisition, neural networks, genetic algorithms, case-based reasoning, and ambient intelligence.

– Knowledge-based systems
– Fuzzy logic

– The paper reviews seven AI tools useful in assembly automation.
– The power and affordability of computers have increased the applications of these tools.

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– Review of seven AI tools for assembly automation
– Applications of AI tools in assembly automation

– Review of AI tools for assembly automation
– Examples of recent applications in assembly automation