Hui Zhang1:30
I think as a robotics company, we started by taking dangerous, repetitive, boring jobs away from humans. That itself is already good, because taking labor-intensive tasks that nobody really wants to do but are still very much needed for the industry. In the typical industrial setup, where everything is well-structured and well-organized, you can rely on engineering and precise programming to carry out all the tasks. But when you get a little bit into a semi-structured or unstructured environment, this is where you need techniques like artificial intelligence or machine learning. I can give you an example. Very often, in a logistics setup in e-commerce, you have to pick up different items from a box, from storage, or from a location where you put the stuff. Those environments are not very well defined or structured. This requires that the robot can locate the things and have a way to take the things out of a very unstructured and unsorted way. Another situation, especially when you get out of a manufacturing environment toward caring for older people, because we have an aging society right now, this is also where AI techniques will help a lot together with robotics. Okay.