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.

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我可以在这里做什么？：Pepper 在线学习特定于上下文的规范

社会规范支持社会的协调与合作。随着社交机器人越来越多地融入我们的社会，它们也需要遵循社会的社会规范。本文提出了一种计算框架，用于在机器人上以在线方式学习情境和情境中存在的社会规范。该论文利用了最近最先进的增量学习方法，并将其应用于场景（上下文）的在线学习。该论文进一步利用 Dempster-Schafer 理论对特定于上下文的规范进行建模。在学习场景（上下文）后，我们使用主动学习来学习相关规范。我们通过不同的场景位置在 Pepper 机器人上测试我们的方法。