ヒューマノイドロボットに具現化された汎用知能の構築と評価
Building and Testing a General Intelligence Embodied in a Humanoid Robot
ヒューマノイドロボットのための物理システム、制御ソフトウェア、人間らしい知能を測る指標g+、およびg+スコアを進化的に向上させるアルゴリズムを提案し、その現状と測定結果を報告した。
著者: Suzanne Gildert, Geordie Rose
分類: cs.RO, cs.AI
原文アブストラクト
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.