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The RoboEarth Language:Representing and Exchanging Knowledge about Actions,Objects,and Environments (Extended Abstract)

机译:RoboEarth语言:表示和交换有关动作,对象和环境的知识(扩展摘要)

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The community-based generation of content has been tremendously successful in the World Wide Web – people help each other by providing information that could be useful to others.We are trying to transfer this approach to robotics in order to help robots acquire the vast amounts of knowledge needed to competently perform everyday tasks.RoboEarth is intended to be a web community by robots for robots to autonomously share descriptions of tasks they have learned,object models they have created,and environments they have explored.In this paper,we report on the formal language we developed for encoding this information and present our approaches to solve the inference problems related to finding information,to determining if information is usable by a robot,and to grounding it on the robot platform.
机译:基于社区的内容生成在万维网上取得了巨大的成功-人们通过提供对他人有用的信息来互相帮助。我们正在尝试将这种方法转移给机器人技术,以帮助机器人获取大量的信息。精通执行日常任务所需的知识。RoboEarth旨在成为机器人的一个网络社区,机器人可以自主地共享他们所学习的任务的描述,所创建的对象模型以及所探索的环境。在本文中,我们对我们开发了用于对该信息进行编码的形式化语言,并提出了解决与查找信息有关的推理问题,确定信息是否可被机器人使用以及将其扎根于机器人平台的方法。

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