Artificial intelligence has made great strides in many areas lately, yet it has had comparatively little success in general-use robotics. We believe one of the reasons for this is the disconnect between traditional robotic design and the properties needed for open-ended, creativity-based AI systems. To that end, we, taking selective inspiration from nature, build a robust, partially soft robotic limb with a large action space, rich sensory data stream from multiple cameras, and the ability to connect with others to enhance the action space and data stream. As a proof of concept, we train two contemporary machine learning algorithms to perform a simple target-finding task. Altogether, we believe that this design serves as a first step to building a robot tailor-made for achieving artificial general intelligence.

翻译：人工智能在众多领域已取得长足进步，但在通用型机器人领域的突破相对有限。我们认为其原因之一在于传统机器人设计与开放式、创造性AI系统所需特性之间存在脱节。为此，我们借鉴自然界的启示，构建了一种兼具鲁棒性与部分软体特性的机器人肢体——该肢体具备大动作空间、多摄像头提供的丰富感官数据流，以及通过与其他单元连接增强动作空间与数据流的能力。作为概念验证，我们训练了两种当代机器学习算法以执行简单的目标搜索任务。总体而言，我们相信该设计是迈向构建专为达成通用人工智能而优化的机器人的第一步。