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KnowRob is an open-source project hosted at [[http:// | KnowRob is an open-source project hosted at [[http:// | ||
that also provides extensive documentation on its [[http:// | that also provides extensive documentation on its [[http:// | ||
+ | |||
+ | ===== CRAM -- Robot Plans ===== | ||
+ | |||
+ | CRAM is a high-level system for designing and performing abstract | ||
+ | robot plans to define intelligent robot behavior. It consists of a | ||
+ | library of generic, robot platform independent plans, elaborate | ||
+ | reasoning mechanisms for detecting and repairing plan failures, as | ||
+ | well as interface modules for executing these plans on real robot | ||
+ | hardware. It supplies robots with concurrent, reactive task execution | ||
+ | capabilities and makes use of knowledge processing backends, such as | ||
+ | KnowRob, for information retrieval. | ||
+ | |||
+ | CRAM builds on top of the ROS ecosystem and is actively developed as an | ||
+ | [[http:// | ||
+ | It is the basis for high-level robot control in many parts of the | ||
+ | world, especially in several European research projects covering | ||
+ | applications from geometrically abstract object manipulation | ||
+ | (RoboHow), multi-robot task coordination and execution (SHERPA), | ||
+ | experience based task parametrization retrieval (RoboEarth), | ||
+ | human robot interaction (SAPHARI). | ||
+ | Further information, | ||
+ | use-cases can be found at the [[http:// | ||
+ | website]]. | ||
+ | |||
+ | ===== openEASE -- Experiment Knowledge Database ===== | ||
+ | |||
+ | OpenEASE is a generic knowledge database for collecting and analysing experiment data. Its foundation is the KnowRob knowledge processing system and ROS, enhanced by reasoning mechanisms and a web interface developed for inspecting comprehensive experiment logs. These logs can be recorded for example from complex CRAM plan executions, virtual reality experiments, | ||
+ | |||
+ | The OpenEASE web interface as well as further information and publication material can be accessed through its publicly available [[http:// | ||
+ | |||
+ | ===== RoboSherlock -- Framework for Cognitive Perception ===== | ||
+ | |||
+ | RoboSherlock is a common framework for cognitive perception, based on the principle of unstructured information management (UIM). UIM has proven itself to be a powerful paradigm for scaling intelligent information and question answering systems towards real-world complexity (i.e. the Watson system from IBM). Complexity in UIM is handled by identifying (or hypothesizing) pieces of | ||
+ | structured information in unstructured documents, by applying ensembles of experts for annotating information pieces, and by testing and integrating these isolated annotations into a comprehensive interpretation of the document. | ||
+ | |||
+ | RoboSherlock builds on top of the ROS ecosystem and is able to wrap almost any existing perception algorithm/ | ||
+ | |||
+ | ===== Proposed Topics ===== | ||
+ | |||
+ | In the following, we list our proposals for the Google Summer of Code topics that contribute to the aforementioned | ||
+ | open-source projects. | ||
+ | |||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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