ROBOTIC AND ARTIFICIAL INTELLIGENCE

In robotics, artificial intelligence ( AI) is arguably the most exciting field. It's definitely the most divisive thing: everyone accepts that a robot should run on an assembly line, but there's no agreement that a robot can ever be wise.

Artificial intelligence is, like the word "robot" itself, difficult to describe. Ultimate AI will be a recreation of the mechanism of human thought a machine created by man using our analytical skills. This will include the ability to learn something, the capacity to think, the capacity to use words, and the ability to develop original concepts. Roboticists are nowhere near reaching this degree of artificial intelligence, but with more constrained AI, they have made a lot of progress.Today's AI machines can replicate some specific elements of intellectual ability.

In restricted realms, machines can even solve problems. While its implementation is difficult, the basic principle of AI problem-solving is quite simple. Second, by sensors or human feedback, the AI robot or computer collects information about a situation. The machine compares this data with stored data and decides what the data represents.The programme runs through different potential activities and predicts on the basis of the gathered information increasing action will be most successful. The machine, of course, can only solve problems that it is designed to solve — it has no generalised analytical capacity. One instance of this kind of system is chess computers.

Some modern robots also have the ability to learn in a limited capacity. Learning robots recognize if a certain action (moving its legs in a certain way, for instance) achieved a desired result (navigating an obstacle). The robot stores this information and attempts the successful action the next time it encounters the same situation. Again, modern computers can only do this in very limited situations. They can't absorb any sort of information like a human can. Some robots can learn by mimicking human actions. In Japan, roboticists have taught a robot to dance by demonstrating the moves themselves.

Understanding how natural intelligence functions is the real difficulty of AI. AI creation is not like constructing an artificial heart — scientists don't have to function from a basic, concrete blueprint. We do know that there are billions and billions of neurons in the brain and that by forming electrical links between various neurons, we think and understand. Yet we don't know precisely how higher logic, or even low-level processes, add up to all these relations.

AI study is helpful for learning how natural intelligence functions, just as physical robotic architecture is a convenient instrument for learning animal and human anatomy. For certain roboticists, the ultimate purpose of building robotics is this perspective. Others imagine a world in which autonomous computers work side by side and use a number of smaller robots for manual labour, health care and connectivity.Machines-integrated human beings. In the future , people could imaginably load their brains into a robust robot and survive for thousands of years.

In any case, robots will certainly play a larger role in our daily lives in the future. In the coming decades, robots will gradually move out of the industrial and scientific worlds and into daily life, in the same way that computers spread to the home in the 1980s.