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| teaching:gsoc2014 [2014/02/25 13:31] – [Topic 2: CRAM -- Symbolic Reasoning Tools with Bullet] tenorth | teaching:gsoc2014 [2014/02/25 13:32] – [Topic 2: CRAM -- Symbolic Reasoning Tools with Bullet] tenorth | ||
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| **Expected Results:** We expect operational and robust contributions to the software library that can be used as part of a robot' | **Expected Results:** We expect operational and robust contributions to the software library that can be used as part of a robot' | ||
| + | ==== Topic 3: KnowRob -- Reasoning about 3D CAD models of objects ==== | ||
| + | **Main Objective: | ||
| + | need information about their geometry. While the overall shape is | ||
| + | sufficient for picking up an object, more information about its | ||
| + | composition from parts and their meaning (e.g. a handle or a container) | ||
| + | is needed when using objects as tools in more complex activities. | ||
| + | We have developed an initial version of a program library that is able | ||
| + | to analyze CAD models of objects, as they can be found in large databases | ||
| + | on the Web, and to automatically identify such functional components. | ||
| + | As part of this project, that software library is to be extended in | ||
| + | order to recognized additional geometric primitives (e.g. torus, box) | ||
| + | and to improve the segmentation and make it more robust. Alternatively, | ||
| + | the focus could be more on improving the analysis infrastructure and | ||
| + | integrating it more closely with the robot' | ||
| + | **Task Difficulty: | ||
| + | ranges from rather simple tasks at the infrastructure level to | ||
| + | interesting research problems for the geometric analysis. | ||
| + | **Requirements: | ||
| + | solid understanding of 3D geometry. Good programming skills in Java | ||
| + | are needed for implementing the algorithms and for evaluating their | ||
| + | results. Depending on the exact topic, knowledge of machine learning | ||
| + | methods or the ability to learn about them could be helpful. | ||
| + | **Expected Results:** We expect operational and robust contributions | ||
| + | to the software library that can be used as part of a robot' | ||
| + | program. | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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