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teaching:gsoc2018 [2018/01/23 08:52] – [Topic 5: Unreal - openEASE Live Connection] ahaiduteaching:gsoc2018 [2018/02/19 09:22] – [Topic 2: Flexible perception pipeline manipulation for RoboSherlock] balintbe
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 **Requirements:** Good programming skills in the Python programming **Requirements:** Good programming skills in the Python programming
 language (CPython/Cython), experience in Artificial Intelligence and Machine Learning language (CPython/Cython), experience in Artificial Intelligence and Machine Learning
-(ideally SRL technques and logic)+(ideally SRL technques and logic). Knowledge about C/C++ will be very helpful.
  
 **Expected Results:** The core components of pracmln, i.e. the learning **Expected Results:** The core components of pracmln, i.e. the learning
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 **Contact:** [[team/daniel_nyga|Daniel Nyga]] **Contact:** [[team/daniel_nyga|Daniel Nyga]]
  
 +**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. 
 +==== Topic 2: Flexible perception pipeline manipulation for RoboSherlock ====
  
-==== Topic 2: Felxible perception pipeline manipulation for RoboSherlock ==== +{{  :teaching:gsoc:topic1_rs.png?nolink&145|}}
- +
-{{  :teaching:gsoc:topic1_rs.png?nolink&140|}}+
  
 **Main Objective:** RoboSherlock is based on the unstructured information management paradigm and uses the uima library at it's core. The c++ implementation of this library is limited multiple ways. In this topic you will develop a module in order to flexibly manage perception pipelines by extending the current implementation to enable new modalities and  run pipelines in parallel. This involves implementing an API for pipeline and data handling that is rooted in the domain of UIMA.  **Main Objective:** RoboSherlock is based on the unstructured information management paradigm and uses the uima library at it's core. The c++ implementation of this library is limited multiple ways. In this topic you will develop a module in order to flexibly manage perception pipelines by extending the current implementation to enable new modalities and  run pipelines in parallel. This involves implementing an API for pipeline and data handling that is rooted in the domain of UIMA. 
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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.  **Expected Results:** an extension to RoboShelrock that allows splitting and joingin pipelines, executing them in parallel, merging results from multiple types of cameras etc. 
  
-Contact: [[team/ferenc_balint-benczedi|Ferenc Bálint-Benczédi]]+---- 
 + 
 +e-mail: [[team/ferenc_balint-benczedi|Ferenc Bálint-Benczédi]] 
 + 
 +chat:   [[https://gitter.im/iai_gsoc18/RoboSherlock|gitter]]
  
 ==== Topic 3: Unreal - ROS 2 Integration ==== ==== Topic 3: Unreal - ROS 2 Integration ====
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 Contact: [[team/gayane_kazhoyan|Gayane Kazhoyan]] Contact: [[team/gayane_kazhoyan|Gayane Kazhoyan]]
 +
 +==== Topic 7: Robot simulation in Unreal Engine with PhysX ====
 +
 +{{ :teaching:unreal_ros_pr2.png?200|}}
 +
 +**Main Objective:** The objective of the project is to enable physically enabled simulation of robots in [[https://www.unrealengine.com/|Unreal Engine]] using [[http://docs.nvidia.com/gameworks/content/gameworkslibrary/physx/apireference/files/hierarchy.html|PhysX]].
 +
 +**Task Difficulty:** The task is to be placed in the hard difficulty
 +level, as it requires programming skills of various frameworks (Unreal Engine,
 +PhysX), expertise in robotic simulation and physics engines.
 +  
 +**Requirements:** Good programming skills in C++. Good knowledge
 +of the Unreal Engine and PhysX API. Experience in robotics and robotic simulation is a plus.
 +
 +**Expected Results** We expect to be able to simulate robots in unreal, have support and able to control standard joints.
 +
 +Contact: [[team/andrei_haidu|Andrei Haidu]]
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