In this talk I will present openEASE, a web-based knowledge service providing robot and human activity data. openEASE contains semantically annotated data of manipulation actions, including the environment the agent is acting in, the objects it manipulates, the task it performs, and the behavior it generates. The episode representations can include images captured by the robot, other sensor datastreams as well as full-body poses. A powerful query language and inference tools, allow reasoning about the data and retrieving requested information based on semantic queries. Based on the data and using the inference tools robots can answer queries regarding to what they did, why, how, what happened, and what they saw. openEASE can be used by KR&R researchers using a browser-based query and visualization interface, but also remotely by robotic via a WebSocket API.
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In: G. Steinbauer, A. Ferrein (eds.): Proceedings of the 11th International Workshop on Cognitive Robotics, Tempe, AZ, USA, 27-Oct-2018, published at http://ceur-ws.org