Current robotic technology

Industrial robots began to be used in car assembly plants in the 1980s, but they began to be designed well before that. However, these robots rarely incorporated any kind of artificial intelligence and had no mobility beyond the movement of their single arms. They were mainly programmed to perform repetitive tasks, such as welding or painting applications.
Robots of the 1980s rarely used artificial intelligence and had no mobility beyond the movement of their single arms.
Today's robots are much more intelligent and mobile, thanks to improvements in artificial intelligence software. These improvements have made a tremendous qualitative leap in the last five years thanks to their ability to learn. Thanks to the use of machine learning techniques, they need less human supervision and are, therefore, more capable of operating autonomously. The incorporation of advances in sensors and mobility hardware make them much more apt to share space with human workers, since they are aware of the environment in which they find themselves, and are able to understand what needs to be done, and to act and learn from the experience. Today's robots still take on tedious tasks that humans struggle with, like repetitive work. But they are also beginning to do other things, such as learning from big data analysis to adapt and improve their work. They vary in shape, size, and intelligence levels according to need. Many have near-human movement capabilities because they are equipped with vision technologies that allow them to interact in changing environments. And although the technology still has a long way to go, its impact is already beginning to be felt, as the cases that we will see.