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jobs [2016/05/25 15:15] – [Theses and Jobs] gkazhoya | jobs [2019/04/05 10:26] – [Theses and Student Jobs] haidu | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
+ | |||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
+ | |||
+ | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments (BA/MA Thesis)== | ||
+ | |||
+ | Implementing a force-, velocity- and impulse-based PID controller for precise and responsive hand movements in a virtual environment. The virtual environment used in Unreal Engine in combination with Virtual Reality devices. The movements | ||
+ | of the human user will be mapped to the virtual hands, and controlled via the implemented PID controllers. | ||
+ | The controller should be able to dynamically tune itself depending on the executed actions (opening/ | ||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with PID controllers and control theory | ||
+ | * Experience with simulators/ | ||
+ | * Experience with Unreal Engine | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
< | < | ||
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Technical support for the group for Lisp and the CRAM framework. \\ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
- | 5 hours per week for up to 1 year (paid). | + | 8+ hours per week for up to 1 year (paid). |
Requirements: | Requirements: | ||
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Contact: [[team: | Contact: [[team: | ||
- | --> | + | --></ |
- | </ | + | == Mesh Editing / Mesh Segmentation/ |
+ | {{ : | ||
+ | | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | Requirements: |
- | {{ : | + | * Good knowledge in 3D Modeling |
+ | * Familiar with Blender / Maya (or other) | ||
+ | |||
+ | Contact: [[team/ | ||
+ | |||
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
+ | |||
+ | Developing and improving existing 3D models in Blender / Maya (or other). Importing the models in Unreal Engine, where the Materials and Lightning should be improved to be close as possible to realism. | ||
+ | |||
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | |||
+ | |||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | < | ||
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== | ||
+ | {{ : | ||
Integrating the [[https:// | Integrating the [[https:// | ||
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- | == Realistic Grasping using Unreal Engine (BA/MA) == | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
{{ : | {{ : | ||
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Contact: [[team/ | Contact: [[team/ | ||
+ | --></ | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | ||
- | {{ : | ||
- | Developing | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
+ | {{ : | ||
+ | |||
+ | Creating | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Basic physics/rendering engine knowledge | + | * Familiar with the [[https:// |
- | * Gazebo simulator basic tutorials | + | * Familiar with Unreal Engine API |
Contact: [[team: | Contact: [[team: | ||
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+ | == OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)== | ||
- | == Automated sensor calibration toolkit (BA/MA)== | ||
- | Computer vision is an important part of autonomous robots. For robots | + | Implmenting |
- | + | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | |
- | + | ||
- | {{ : | + | |
- | The system should: | + | |
- | * be independent of the camera type | + | |
- | * estimate intrinsic and extrinsic parameters | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon | + | |
- | * operate autonomously | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | + | ||
- | [1] http://www.halcon.de/ | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | |
- | + | ||
- | 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, | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | |
- | + | ||
- | 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, | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * Gazebo, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | |
- | + | ||
- | 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, | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Semantic Collision Checking for Planning Robot Manipulation Tasks == | + | |
- | {{ : | + | |
- | Service robots helping humans at home shall perform manipulation tasks like wiping | + | |
- | + | ||
- | The goal of this project is to interface existing collision checking software from MoveIt! with the robot knowledge base KnowRob to enable semantic collision checking. As a result, the student will extend the KnowRob system by a couple of predicates which employ collision checking from MoveIt! to decide whether a given world state complies with a desired contact state. | + | |
- | + | ||
- | Requirements: | + | |
- | * basic knowledge of ROS | + | |
- | * basic knowledge of robotics | + | |
- | * interest in using KnowRob and MoveIt! | + | |
- | + | ||
- | Contact: [[team: | + | |
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
+ | 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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