Artificial Intelligence is the most exciting field in robotics. It is the most controversial field. Everyone agrees that a robot can work in an assembly line, but there is no surety that the robots cab ever be intelligent.
As we concern to the computers, they can already solve problems in limited editions. The basic idea of AI (artificial Intelligence) problem solving is straightforward. The AI robot or computer first collects facts about the information provided through sensors or human input. The computer runs through various actions by analyzing the stored data and predicts which action will be more suitable or significant.
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Learning ability:
Some of the modern robots have the strength to learn in a limited capacity. The robots with the ability to learn, recognize if a specific action received the desired result. The robot stores this achieved information in its storage and attempts the significant effect next time when it encounters the same situation. It is vital to note that a modern computer can do this only in a limited edition. In Japan, a robot is introduced that is taught to dance by demonstrating the moves themselves.
Social interactions:
Some of the robots can socially interact. Kismet, which is a robot at MIT’s AI lab, recognizes the body language and voice inflexions of humans and responds respectively. The creators of Kismet are interested in how the babies and humans interact, based on visual cue and tone of speech. This low-level interaction could be the base of human-like learning skills.
Kismet and other humans like robots at Artificial Intelligence Lab at MIT operate using an unconventional control structure. The robots control lower-level actions with the help of lower-level computers, instead of directing every step using a central computer. Rodney Brooks, who is the program director, believes that this is a more accurate model of human Intelligence. He says that they do most of the things automatically and they don’t decide at the highest level of consciousness to do them.
There is also a real and significant challenge for AI, which is to understand how natural Intelligence works. Developing Artificial Intelligence is not like making an artificial heart. Scientists don’t have a simple, robust model to work from. The brain includes billions and billions of neurons and that we think and learn by establishing electrical connections between different neurons. But we don’t know precisely how all of these connections add up to higher reasoning or even low-level operations. The complex circuitry seems incomprehensible.
Because of this, AI research is mostly theoretical. Brooks and his team focus on human-like robots because they feel that being able to experience the world like a human is compulsory to developing human-like Intelligence. It also makes it easy for people to interact with robots, which potentially makes it easy for the robot to learn.
Just as physical robot design is a handy tool for knowing the animal and human anatomy, AI (Artificial Intelligence) research is useful for understanding how natural Intelligence works. For some roboticists, this insight is the eventual goal of designing robots. Others desire a world where we live side by side with intelligent robotic machines and use a variety of lesser robots for manual labour, health care and communication. Several robotics experts predict that robotic evolution will eventually turn us into cyborgs, which will be humans integrated with machines. Possibly, people in the future could be able to load their minds into a big robot and live for thousands of years! Get extra information about Artificial intelligence on robots.net
