Evolutionary Robotics by Josh Bongard, Victor Zykov and Hod Lipson

August 4th, 2009 in Machines, Objects, Robots by miles

Roboticists at the Cornell Computational Synthesis Laboratory have been researching and designing a new type of robot that gets smarter over time.

From Wikipedia, “Evolutionary Robotics (ER) is a methodology that uses evolutionary computation to develop controllers for autonomous robots. Algorithms in ER frequently operate on populations of candidate controllers, initially selected from some distribution. This population is then repeatedly modified according to a fitness function. In the case of genetic algorithms (or “GAs”), a common method in evolutionary computation, the population of candidate controllers is repeatedly grown according to crossover, mutation and other GA operators and then culled according to the fitness function.”