evolving controllers for virtual creature locomotion
We consider the application of Evolutionary Algorithms (EAs) to the problem of automating the locomotion of computer-simulated creatures. We introduce niching as a way of maintaining genetic diversity and show that it results in the generation of a range of locomotion controllers and increases the probability of finding difficult or rare locomotion modes.
virtual creatures evolutionary algorithms niching locomotion controllers mass-spring systems