| Abstract |
Evolutionary robotics is one of the most popular filelds of study
for many researchers and engineers. Inspired by the evolution processes
followed by the living organisms along millions of years, it aims to produce
individuals with better capabilities for adapting themselves to the
environment changes in both structural and intellectual aspects. One of the
mechanisms used by evolution for producing new individuals is to
recombine the features of two individuals that currently exist through the
copulation process. But for this to happen is very important that these
individuals can locate the position of each other and to be as near as needed
for the mating process to happen. With the consequent modifications, this
process can be translated to robotics. Thus, our project aims to integrate a
deep learning based image recognition system into the robot’s brain that
allows them to locate and recognize themselves by processing the images
provenient from an onboard camera. This way they will know what
direction to move so they can be enough close to each other for the
feature recombination process to be completed. |