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teaching:gsoc2017 [2017/02/08 08:49] – [Topic 3: ROS with PR2 integration in Unreal Engine] lisca | teaching:gsoc2017 [2017/03/17 18:21] – [Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios] balintbe | ||
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- | **When contacting us, please make sure you read the description of the topic you are interested in carefully. Only contact the person responsible for the topic / topics you are interested in. Please only ask topic-relevant specific questions, otherwise your emails will not be answered due to limited resources we have for processing the vast amount of GSoC inquiries. For more general questions please use our [[https://webchat.freenode.net/? | + | **When contacting us, please make sure you read the description of the topic you are interested in carefully. Only contact the person responsible for the topic / topics you are interested in. Please only ask topic-relevant specific questions, otherwise your emails will not be answered due to limited resources we have for processing the vast amount of GSoC inquiries. For more general questions please use [[https://gitter.im/ |
===== KnowRob -- Robot Knowledge Processing ===== | ===== KnowRob -- Robot Knowledge Processing ===== | ||
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would start from (but not necessarly limit ourselves to) the implemen- | would start from (but not necessarly limit ourselves to) the implemen- | ||
tation of two state-of-the-art algorithms described in recent papers: | tation of two state-of-the-art algorithms described in recent papers: | ||
- | [1] Ilya Lysenkov, Victor Eruhimov, and Gary Bradski, Recognition | + | |
- | and Pose Estimation of Rigid Transparent Objects with a Kinect Sen- | + | [1] Aleksandrs Ecins, Cornelia Fermuller |
- | sor, 2013 Robotics: Science | + | |
[2] Richtsfeld A., M ̈ | [2] Richtsfeld A., M ̈ | ||
orwald T., Prankl J., Zillich M. and Vincze | orwald T., Prankl J., Zillich M. and Vincze | ||
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**Requirements: | **Requirements: | ||
- | edge of CMake. Experience with PCL, OpenCV is prefered. | + | edge of CMake and ROS. Experience with PCL, OpenCV is prefered. |
**Expected Results:** Currently the RoboSherlock framework lacks good perception algorithms that can generate object-hypotheses in challenging scenarios(clutter and/or occlusion). The expected results are several software components based on recent advances in cluttered scene analysis that are able to successfully recognized objects in the scenarios mentioned in the objectives, or a subset of these. | **Expected Results:** Currently the RoboSherlock framework lacks good perception algorithms that can generate object-hypotheses in challenging scenarios(clutter and/or occlusion). The expected results are several software components based on recent advances in cluttered scene analysis that are able to successfully recognized objects in the scenarios mentioned in the objectives, or a subset of these. | ||
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**Requirements: | **Requirements: | ||
- | **Expected Results** We expect to be able to load URDF models of | + | **Expected Results** We expect to enhance our currently developed robot learning game with realistic human-like grasping capabilities. These would allow users to interact more realistically with the given virtual environment. Having the possibility to manipulate objects of various shapes |
- | varios robots (e.g. PR2) and be able to control them through ROS | + | |
- | in the game engine. In a similar fashion | + | |
Contact: [[team/ | Contact: [[team/ | ||
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robotics. | robotics. | ||
- | **Expected Results** We expect to enhance our currently developed robot learning game with realistic human-like grasping capabilities. These would allow users to interact more realistically with the given virtual environment. Having the possibility to manipulate objects of various shapes | + | **Expected Results** We expect to be able to load URDF models of |
+ | varios robots (e.g. PR2) and be able to control them through ROS | ||
+ | in the game engine. In a similar fashion | ||
Contact: [[team/ | 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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