Descent of Robots

At the University of Cambridge researchers are studying the evolution of species to copycat the process and "code" it into robots. 
They have developed a "mother" robot that can design and build robot children and observe their behaviour learning from it to improve the design of the next generation.
This is part of a new science, evolutionary robotics, where the objective is to create robots that can learn by themselves. This is quite a change from the idea of a robot as a machine that can do repetitive tasks without changing its behaviour. 
In the experiment the "mother" robot has been programmed to build its children out of several plastic cubes (up to 5) with a motor inside. Mommy builds 10 little robots at a time and then observe their behaviour that is basically dictated by 5 "genes" controlling the way the cubes are attached one another, the way the motors operate and so on.  It then uses the observation to determine who are the best performer and changes the genes of the less performing ones and produce a new generation of offsprings. 
The experiments have shown that there is a progress from one generation to the next and actually with no human (programmer) intervention at the end of the experiment the offsprings performed twice as good as the best performers in the first generation (they could move at twice their speed).
Interestingly, the announcement on the University of Cambridge website is titled "On the origin of (robot) species. Could it really be it?

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.