Hello!
I am Sakshay. I am currently working on the project:Robotics Academy under Google Summer of Code.
My project
is on developing an exercise for students on the topic Evolutionary
Robotics. The exercise is supposed to offer a Gazebo simulation of the
robot, and we have to train the parameters of it's Neural Network by
means of a Genetic Algorithm for obstacle avoidance. However, the problem is with
the repeatability of the simulations. Every time we run the simulation,
the robot takes a slightly different course of action, which should not
be the case. The robot should behave the same way every time we run it.
It would be really great if I could get a little guidance on how to implement this.
Thanks & Regards
Sakshay Mahna
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