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teaching:gsoc2018 [2018/03/13 16:40] ahaidu [Topic 5: Unreal - openEASE Live Connection] |
teaching:gsoc2018 [2018/03/21 22:13] nyga [Topic 1: Markov logic networks in Python] |
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| **Remarks:** If you have questions about this project in advance, about your application, qualification or ways to get started, please post your question in the [[https://gitter.im/iai_gsoc18/pracmln|pracmln gitter chat]]. Personal e-mails will not be answered. | **Remarks:** If you have questions about this project in advance, about your application, qualification or ways to get started, please post your question in the [[https://gitter.im/iai_gsoc18/pracmln|pracmln gitter chat]]. Personal e-mails will not be answered. | ||
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| + | **Assignment:** https://files.gitter.im/iai_gsoc18/pracmln/Ckxw/application-form.pdf | ||
| ==== Topic 2.1: Flexible perception pipeline manipulation for RoboSherlock ==== | ==== Topic 2.1: Flexible perception pipeline manipulation for RoboSherlock ==== | ||
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| **Expected Results** We expect to have intuitive Unreal Engine UI Panels for editing, visualizing various RobCoG plugins data and features. | **Expected Results** We expect to have intuitive Unreal Engine UI Panels for editing, visualizing various RobCoG plugins data and features. | ||
| - | **Assignement:** In order to be considered for this topic you need to solve a short programming assignement described [[https://gist.github.com/andreihaidu/3eb6d49ab83ed3895f17911cdcd1e084|here]]. | + | **Assignment:** In order to be considered for this topic you need to solve a short programming assignment described [[https://gist.github.com/andreihaidu/3eb6d49ab83ed3895f17911cdcd1e084|here]]. |
| Contact: [[team/andrei_haidu|Andrei Haidu]] | Contact: [[team/andrei_haidu|Andrei Haidu]] | ||
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