论文标题
使您的机器人积极主动的两种方法：关于人类意图的推理或关于可能未来的推理
Two ways to make your robot proactive: reasoning about human intentions, or reasoning about possible futures
论文作者
论文摘要
与人类共享空间的机器人需要积极主动才能提供帮助。积极主动的机器人能够以一种预期的方式采取行动，使人类受益。在这项工作中，我们研究了两种使机器人积极主动的方法。一种方法是认识人类的意图并采取行动实现它们，例如打开即将穿越的门。另一种方法是推理可能的未来威胁或机会，并采取行动预防或促进它们，例如建议您拿起雨伞，因为雨水已经被预测。在本文中，我们提出了实现这两种主动行为的方法。然后，我们提出一个集成系统，可以通过对这两个因素进行推理来产生主动的机器人行为：意图和预测。我们在样本用例上说明了我们的系统，包括家用机器人和人类。我们首先将此用例与两个单独的主动系统（基于意图和基于预测）的两个单独的主动系统一起运行，然后使用我们的集成系统运行。结果表明，集成系统能够考虑积极性所需的更广泛的方面。
Robots sharing their space with humans need to be proactive in order to be helpful. Proactive robots are able to act on their own initiative in an anticipatory way to benefit humans. In this work, we investigate two ways to make robots proactive. One way is to recognize humans' intentions and to act to fulfill them, like opening the door that you are about to cross. The other way is to reason about possible future threats or opportunities and to act to prevent or to foster them, like recommending you to take an umbrella since rain has been forecasted. In this paper, we present approaches to realize these two types of proactive behavior. We then present an integrated system that can generate proactive robot behavior by reasoning on both factors: intentions and predictions. We illustrate our system on a sample use case including a domestic robot and a human. We first run this use case with the two separate proactive systems, intention-based and prediction-based, and then run it with our integrated system. The results show that the integrated system is able to take into account a broader variety of aspects that are needed for proactivity.
