论文标题
我可以在这里做什么？
What am I allowed to do here?: Online Learning of Context-Specific Norms by Pepper
论文作者
论文摘要
社会规范支持社会的协调与合作。随着社会机器人越来越多地参与我们的社会，他们也需要遵循社会的社会规范。本文为学习环境和在机器人上以在线方式上存在的学习环境和社会规范介绍了一个计算框架。该论文利用了一种最新的方法来逐步学习，并将其改编以在线学习场景（上下文）。该论文进一步利用Dempster-Schafer理论来模拟特定于上下文的规范。在学习场景（上下文）之后，我们使用主动学习来学习相关的规范。我们通过将其通过不同场景的位置来测试辣椒机器人的方法。我们的结果表明，Pepper可以通过以在线方式与人类伴侣进行交流，可以学习不同的场景和相关规范。
Social norms support coordination and cooperation in society. With social robots becoming increasingly involved in our society, they also need to follow the social norms of the society. This paper presents a computational framework for learning contexts and the social norms present in a context in an online manner on a robot. The paper utilizes a recent state-of-the-art approach for incremental learning and adapts it for online learning of scenes (contexts). The paper further utilizes Dempster-Schafer theory to model context-specific norms. After learning the scenes (contexts), we use active learning to learn related norms. We test our approach on the Pepper robot by taking it through different scene locations. Our results show that Pepper can learn different scenes and related norms simply by communicating with a human partner in an online manner.
