It seems that the future has finally arrived. So, a team from the University of Bristol has created a new algorithm that will make robots much more "human" than they are now. A new achievement of scientists, published in the journal Science Robotics, proves that in the near future robots will learn to help a person, becoming practically indistinguishable from him.
Can robots be human-like?
Inspired by an example from biology, researchers from the University of Bristol came up with the concept of a computer with a special soft substance that will simulate the work of the cardiovascular system.
Guided by the knowledge of its structure, the researchers, led by Professor of robotics Jonathan Rossiter, successfully demonstrated a new mechanism that made it possible to embed a new algorithm of movements into three soft robots at once. In their article, the team of researchers describes the functions of the conductive liquid receptor, which is almost a complete analogue of human blood and a new fundamental building block for a number of new generation robots.
According to Professor Rossiter's report, in the near future, computers with soft matter could, if necessary, launch all the most important processes that will occur in the robot's "body". In order for everything to work out, and the robot could make its first "meaningful" movements, the soft matter would have to translate all the information received into the structure of a fluid tape that would simulate the processes occurring in human blood. So, the action of the fluid tape will have to propagate through the entire body of the robot in order for the necessary signal to be detected by the appropriate receptor and be able to be transmitted to one or another artificial "nerve ending".
In order to explain the complex in simple language, Professor Rossiter demonstrated to the public a robotic worm created by him, which was programmed by an internal computer with soft matter.
According to the professor, soft robots may eventually become even more alive: they will be able to adapt to the environment on their own and demonstrate a variety of behaviors observed in the natural world.