Our ability to provide innovation through design is further strengthened by our understanding of the latest and most appropriate technology available in the marketplace. Using a similar concept to Deep Learning AI, ‘Machine Learning’ combines low-cost sensor technology, robotics and the principles of deep learning, to create machines that can interact with and learn from, the physical world we live.
A good example of this uses fully autonomous, Collaborative Robotic Trollies (CRTs) which are capable of safely following manual pickers around the warehouse before taking the picked orders back to a drop-off point. Just before they leave the operative, they are replaced by another – keeping the picker continuously active. In a recent study carried out by us, CRTs were able to generate a 34% increase in productivity, even in relatively small warehouses, and generally return on investment was less than 18 months.