How does FANUC integrate artificial intelligence into its Handling Tool applications?

FANUC integrates artificial intelligence into its Handling Tool applications primarily through the implementation of machine learning algorithms. This approach allows the systems to learn from data and experiences, enabling more effective and efficient decision-making processes. Machine learning can adapt to new scenarios and optimize performance over time, improving the handling processes, productivity, and operational efficiency.

In contrast, utilizing pre-defined scripted responses does not provide the flexibility or adaptability that machine learning offers. Simple rule-based systems are static and lack the ability to learn from new data, which limits their effectiveness in dynamic environments. While allowing manual adjustments to parameters offers some level of control to users, it does not leverage the autonomous learning capabilities inherent in machine learning, which significantly enhances the functionality and efficiency of FANUC's Handling Tool applications.