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teaching:gsoc2018 [2018/01/17 17:46] – [Google Summer of Code 2018] nyga | teaching:gsoc2018 [2018/01/22 09:36] – [openEASE -- Web-based Robot Knowledge Service] ahaidu | ||
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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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+ | ===== openEASE -- Web-based Robot Knowledge Service ===== | ||
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+ | OpenEASE is a generic knowledge database for collecting and analyzing 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, | ||
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+ | The OpenEASE web interface as well as further information and publication material can be accessed through its publicly available [[http:// | ||
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+ | ===== RobCoG - **Rob**ot **Co**mmonsense **G**ames ===== | ||
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+ | [[http:// | ||
+ | ===== Proposed Topics ===== | ||
+ | |||
+ | In the following, we list our proposals for the Google Summer of Code topics that contribute to the aforementioned open-source projects. | ||
==== Topic 1: Markov logic networks in Python ==== | ==== Topic 1: Markov logic networks in Python ==== | ||
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Python. The main objective of this project is to port the | Python. The main objective of this project is to port the | ||
computationally heavy parts of the learning and inference algorithms to | computationally heavy parts of the learning and inference algorithms to | ||
- | Cython (cython.org), an extension to Python that allows static | + | [[http:// |
compilation of Python modules to C libraries. Cython allows to add | compilation of Python modules to C libraries. Cython allows to add | ||
static type declarations to Python, which can significantly speed up | static type declarations to Python, which can significantly speed up | ||
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**Contact: | **Contact: | ||
- | ===== Proposed Topics ===== | ||
- | In the following, we list our proposals | + | |
+ | ==== Topic 2: Felxible perception pipeline manipulation for RoboSherlock ==== | ||
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+ | {{ : | ||
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+ | **Main Objective: | ||
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+ | **Task Difficulty: | ||
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+ | **Requirements: | ||
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+ | **Expected Results:** an extension to RoboShelrock that allows splitting and joingin pipelines, executing them in parallel, merging results from multiple types of cameras etc. | ||
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+ | Contact: [[team/ | ||
+ |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
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ai-office@cs.uni-bremen.de
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