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| teaching:gsoc2018 [2018/01/17 18:44] – nyga | teaching:gsoc2018 [2018/01/21 20:28] – balintbe | ||
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| and tutorials that facilitate getting started with MLNs. It is provided as a pip | and tutorials that facilitate getting started with MLNs. It is provided as a pip | ||
| package in the Python package index ([[https:// | package in the Python package index ([[https:// | ||
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| + | ===== RoboSherlock -- Framework for Cognitive Perception ===== | ||
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| + | 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. | ||
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| + | RoboSherlock builds on top of the ROS ecosystem and is able to wrap almost any existing perception algorithm/ | ||
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| ===== Proposed Topics ===== | ===== Proposed Topics ===== | ||
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