  Machines with human-level intelligence should be able to do most economically
valuable work. This aligns a major economic incentive with the scientific grand
challenge of building a human-like mind. Here we describe our approach to
building and testing such a system. Our approach comprises a physical humanoid
robotic system; a software based control system for robots of this type; a
performance metric, which we call g+, designed to be a measure of human-like
intelligence in humanoid robots; and an evolutionary algorithm for
incrementally increasing scores on this performance metric. We introduce and
describe the current status of each of these. We report on current and
historical measurements of the g+ metric on the systems described here.
