Biologically inspired algorithms will teach robots to cooperate

In the development of robots, the time has also come for cooperation. And in this case, scientists could not be inspired by anything other than… biology. Because who knows the rules of cooperation better than nature?

Learning to cooperate

They were inspired by biological morphogenesis and based on this they created a self-organization algorithm. They, or a team of scientists from the University of Surrey. This discovery will probably allow in the future to develop such models of robots that will be able to cooperate with each other. In an interview with the service techexplore.com, one of the professors said about the document, where he included the entire workflow of the study: from the beginning to the self-organization of collective systems, such as robot swarms. The new algorithm will allow robots to cooperate in a clear, controlled, predictable and guided manner.

source: techxplore.com

Which does not change the fact that there are constantly increasing limitations in this field, related to, among other things, the rules for generating a specific model of behavior by a group. This is where the idea of ​​being inspired by biological molecules was born, where cells can independently direct themselves in the appropriate direction or in a previously established direction through so-called morphological development. Using a gradient, scientists have recreated this pattern of cell behavior in robots thanks to AI.

How can this system help us?

An algorithm developed by scientists at the University of Surrey could help robots work better together in the future. This means that harder tasks will be performed better and more efficiently. It will also be helpful in a situation where the main basis will be the human-robot relationship. And although the bio-algorithm is still in the testing phase and has not yet been tested in real conditions, it is worth taking a closer look at this issue. Scientists are already planning to use this method, for example, to clean the environment or track leaks of dangerous gases. And this, as we know, is now useful and up-to-date knowledge, because unfortunately environmental issues are not in the best shape right now.

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