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teaching:gsoc2017 [2017/03/05 19:09] – [Topic 2: Realistic Grasping using Unreal Engine] ahaidu | teaching:gsoc2017 [2017/03/06 14:39] – [Topic 1: Multi-modal Cluttered Scene Analysis in Knowledge Intensive Scenarios] balintbe | ||
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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 | ||
Line 150: | Line 149: | ||
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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