Robotics in Modern Manufacturing
Abstract
Manufacturing is currently experiencing a renaissance due to automation, robots, and AI, which will produce higher, and lower cost and higher productivity products. In this chapter a hybrid deep learning system is created with combinations of Convolutional Neural Networks with Long Short-Term Memory Neural Networks using the Whale Optimization Algorithm. The CNN monitors sensors and uses robotic vision to inspect products for defects while LSTM uses time series data to identify anomalies and predictive analytics. WOA defines the parameters for improved flexibility and performance. The findings show a 30% reduction in downtime, a 25% improvement in diagnosis of problems, and a 20% decrease in costs over 1 year. This model can help develop environmentally conscious, flexible, intelligent production systems.