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Contact: [[team: | Contact: [[team: | ||
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+ | == On-the-fly 3D CAD model creation (MA)== | ||
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+ | Create models during runtime for unknown textured objets based on depth and color information. Track the object and update the model with more detailed information, | ||
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+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | * strong background in computer vision | ||
+ | * ROS, OpenCV, PCL | ||
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+ | Contact: [[team: | ||
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+ | == Simulation of a robots belief state to support perception(MA) == | ||
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+ | Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate the affordances these objects possess, in order to support segmentation, | ||
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+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | * strong background in computer vision | ||
+ | * Gazebo, OpenCV, PCL | ||
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+ | Contact: [[team: | ||
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+ | == Multi-expert segmentation of cluttered and occluded scenes == | ||
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+ | Objects in a human environment are usually found in challenging scenes. They can be stacked upon eachother, touching or occluding, can be found in drawers, cupboards, refrigerators and so on. A personal robot assistant in order to execute a task, needs to detect these objects and recognize them. In this thesis a multi-modal approach to interpreting cluttered scenes is going to be investigated, | ||
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+ | Requirements: | ||
+ | * Good programming skills in C/C++ | ||
+ | * strong background in 3D vision | ||
+ | * basic knowledge of ROS, OpenCV, PCL | ||
+ | |||
+ | 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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