Brad Dolin

Learn More
We investigate two techniques for co-evolving and sampling from a population of fitness cases, and compare these with a random sampling technique. We design three symbolic regression problems on which to test these techniques, and also measure their relative performance on a modular robot control problem. The methods have varying relative performance, but(More)
Genetic programming (GP) is a robust, flexible, and intuitive Artificial Intelligence paradigm with an amazingly diverse range of applications. Unfortunately, getting up to speed with current research presupposes an understanding of basic concepts— which, of course, research articles do not have the space to address. To introduce the beginner to the basics(More)
Self-reconfigurable modular robotics represents a new approach to robotic hardware, in which the " robot " is composed of many simple, identical interacting modules. We propose a novel application of modular robotics: the programmable smart membrane, a device capable of actively filtering objects based on numerous measurable attributes. Creating control(More)
Previous work on evolving distributed control software for modular robots has resulted in solutions that do not generalize well to unseen test cases. In this work, we seek general solutions to an entire space of test cases. Each test case is a specific world configuration with a passage through which the modular robot must move. The space of test cases is(More)
  • 1