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teaching:gsoc2018 [2018/01/23 08:48] – [Topic 4: Unreal Editor User Interface Development] ahaidu | teaching:gsoc2018 [2018/02/14 15:16] – [Topic 6: CRAM -- Visualizing Robot's Simulation World in RViz] ahaidu | ||
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==== Topic 2: Felxible perception pipeline manipulation for RoboSherlock ==== | ==== Topic 2: Felxible perception pipeline manipulation for RoboSherlock ==== | ||
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**Main Objective: | **Main Objective: | ||
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{{ : | {{ : | ||
- | For this topic we would like to extend the modules from RobCoG with intuitive Unreal Engine Editor Panels. This would allow easier and faster manipulation of various parameters. | + | For this topic we would like to extend the modules from RobCoG with intuitive Unreal Engine Editor Panels. This would allow easier and faster manipulation/ |
**Task Difficulty: | **Task Difficulty: | ||
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==== Topic 5: Unreal - openEASE Live Connection ==== | ==== Topic 5: Unreal - openEASE Live Connection ==== | ||
- | {{ : | + | {{ : |
- | TODO | + | For this topic we would like to create a live connection between openEASE and RobCoG. A user should be able to connect to openEASE from the Unreal Engine Editor and perform various queries. For example to verify if the items from the Unreal Engine world are present in the ontology of the robot. It should be able to upload new data directly from the editor. |
**Task Difficulty: | **Task Difficulty: | ||
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Contact: [[team/ | Contact: [[team/ | ||
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+ | ==== Topic 7: Robot simulation in Unreal Engine with PhysX ==== | ||
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+ | {{ : | ||
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+ | **Main Objective: | ||
+ | |||
+ | **Task Difficulty: | ||
+ | level, as it requires programming skills of various frameworks (Unreal Engine, | ||
+ | PhysX), expertise in robotic simulation and physics engines. | ||
+ | | ||
+ | **Requirements: | ||
+ | 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/ |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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