论文标题
惊人的比赛TM：机器人版
The Amazing Race TM: Robot Edition
论文作者
论文摘要
最先进的天然语言驱动系统通常缺乏在没有拐杖的实际未知环境中操作的能力，例如提前具有环境地图或需要对自然语言命令进行严格的句法结构。实用的人工智能系统不必依赖于这种先验知识。为了鼓励努力实现这一目标，我们提出了令人惊叹的Race TM：Robot Edition，这是一项新的任务，是在未知且未修改的办公室环境中找到房间，并按照未经训练的人在口语对话中获得的说明。我们提出了一种解决方案，将这一挑战视为一系列子任务：自然语言解释，自主导航和语义映射。该解决方案由有限国家的机机系统设计组成，该设计的状态可以解决这些子任务以完成惊人的比赛TM。我们的设计部署在一个真正的机器人上，其性能在52台试验中，对3层不同以前看不见的建筑物的4层和13位未经训练的志愿者进行了证明。
State-of-the-art natural-language-driven autonomous-navigation systems generally lack the ability to operate in real unknown environments without crutches, such as having a map of the environment in advance or requiring a strict syntactic structure for natural-language commands. Practical artificial-intelligent systems should not have to depend on such prior knowledge. To encourage effort towards this goal, we propose The Amazing Race TM: Robot Edition, a new task of finding a room in an unknown and unmodified office environment by following instructions obtained in spoken dialog from an untrained person. We present a solution that treats this challenge as a series of sub-tasks: natural-language interpretation, autonomous navigation, and semantic mapping. The solution consists of a finite-state-machine system design whose states solve these sub-tasks to complete The Amazing Race TM. Our design is deployed on a real robot and its performance is demonstrated in 52 trials on 4 floors of each of 3 different previously unseen buildings with 13 untrained volunteers.
