openEASE is a cutting-edge, web-based knowledge service that leverages the KnowRob robot knowledge representation and reasoning system to offer a machine-understandable and processable platform for sharing knowledge and reasoning capabilities. It encompasses a broad spectrum of knowledge, including insights into agents (notably robots and humans), their environments (spanning objects and substances), tasks, actions, and detailed manipulation episodes involving both robots and humans. These episodes are richly documented through robot-captured images, sensor data streams, and full-body poses, providing a comprehensive understanding of interactions. OpenEASE is equipped with a robust query language and advanced inference tools, enabling users to conduct semantic queries and reason about the data to extract specific information. This functionality allows robots to articulate insights about their actions, motivations, methodologies, outcomes, and observations, thereby facilitating a deeper understanding of robotic operations and interactions within their environments.
In this laboratory, you have access to openEASE, a web-based interactive platform that offers knowledge services. Through openEASE, you can choose from various knowledge bases, each representing a robotic experiment or an episode where humans demonstrate tasks to robots. To start, select a knowledge base—for instance, ”ease-2020-urobosim-fetch-and-place”—and activate it. Then, by clicking on the ”examples” button, you can choose specific knowledge queries to run on the selected experiment’s knowledge bases, facilitating a deeper understanding and interaction with the data. For a detailed overview of the episodes in openEASE click here.
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