Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
jobs [2015/06/19 12:58] – winkler | jobs [2024/01/26 13:22] – [Theses and Student Jobs] pmania | ||
---|---|---|---|
Line 1: | Line 1: | ||
~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | {{blog>: | ||
- | == HiWi-Position: | ||
- | When dealing with real-world robot tasks, simulation that is close to reality is key to test behavior-driven, smart robot plans before they are deployed on an actual physical system. In this HiWi job, I am looking for a competent student (preferably with prior experience in ROS) that performs, tests, and extends a simulated experiment world featuring a PR2 robot that autonomously performs tasks. | + | < |
+ | <div style=" | ||
+ | </ | ||
- | Requirements: | ||
- | * Experience in ROS | ||
- | * Passion for Robotics | ||
- | * Ideally programming skills in Lisp, Prolog, and Java | ||
- | Contact: [[team: | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor' | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
- | |||
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models grow larger, traditional implementations on single-core CPUs suffer from sequential execution causing a severe slow-down. In this thesis, state-of-the-art GPU frameworks (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | ||
- | |||
- | Requirements: | ||
- | * Skills in numerical optimization algorithms | ||
- | * Good programming skills in Python and C/C++ | ||
- | |||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | < |
+ | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == | ||
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical | + | Implementing physics-based grasping |
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good C++ programming skills |
- | * Experience with statistical relational learning | + | * Familiar with skeletal animations |
- | * Good programming skills in Python. | + | * Experience with simulators/ |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems | ||
+ | * Able to work independently with minimal supervision | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | + | --></ | |
- | + | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | |
- | + | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | |
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | ||
- | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | Tasks: | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | 8+ hours per week for up to 1 year (paid). |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
Requirements: | Requirements: | ||
- | * Studies | + | * Good programming skills |
- | * Basic skills in Artificial Intelligence | + | * Basic ROS knowledge |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | The student will be introduced to the CRAM framework at the beginning of the job, which is a robot programming framework written in Lisp. The student will then be responsible for assisting not familiar with the framework people, explaining them the parts they don't understand and pointing them to the relevant documentation sources. |
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
+ | --></ | ||
- | [1] www.robohow.eu\\ | + | < |
- | [2] http://www.youtube.com/watch?v=0eIryyzlRwA | + | == Mesh Editing |
+ | {{ : | ||
+ | | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | Requirements: |
- | {{ : | + | * Good knowledge |
+ | * Familiar with Blender / Maya (or other) | ||
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Contact: |
+ | --></ | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Gazebo simulator basic tutorials | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | < |
+ | == 3D Animation and Modeling (Student Job / HiWi)== | ||
+ | | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | Developing and improving existing or new 3D (static/skeletal) |
- | {{ : | + | models in Blender / Maya (or other). Further importing and testing the |
+ | models against Unreal Engine. | ||
- | Integrating the eye tracker in the [[http://gazebosim.org/|Gazebo]] based Kitchen Activity Games framework and logging the gaze of the user during the gameplay. From the information typical activities should be inferred. | + | Bonus: Working with state of the art 3D Scanners |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Gazebo simulator basic tutorials | + | * Knowledge of Unreal Engine material / lightning development |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | == Scene Format Conversion Tool for Robotics Simulation |
- | {{ : | + | |
- | Improving the skeletal tracking offered by the [[https:// | + | **Motivation:** |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | With robotics playing a significant role in various domains, simulation is essential |
- | Requirements: | + | {{:multiformat.png? |
- | * Good programming skills in C/C++ | + | |
- | Contact: [[team: | + | **Task Description:** |
- | == Fluid Simulation in Gazebo (BA/MA)== | + | The objective of this project is to develop a universal parser capable of converting scene descriptions between common formats. The following key steps are involved: |
- | | + | |
- | [[http:// | + | - Create a model to represent and store the scene graph. |
+ | - Implement import functions for the model to handle scene descriptions | ||
+ | - Implement export functions for the model to generate scene descriptions in any of the supported formats. | ||
- | Currently there is an [[http:// | + | **Requirements:** |
- | The computational method | + | * A strong passion |
- | and should be implemented (PCISPH/ | + | * Dedication to the chosen topic. |
+ | * Eager to learn. | ||
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions (not taking into account pressure and other forces). | + | Contact: [[team: |
- | Another topic would be the visualization | + | == Generating Comics about Everyday Experiences |
- | Here is a [[https:// | + | Summary: |
+ | * Query experience data from an existing database | ||
+ | * Retrieve situations | ||
+ | * Recreate | ||
+ | * Apply a comic shader | ||
+ | * Find good camera position for moments | ||
+ | * Generate a PDF summarizing | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * Interest in Fluid simulation | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | ||
+ | == Übersetzung einer globalen Produktklassifikation in eine bestehende Ontologie (BA Thesis) == | ||
- | == Automated sensor calibration toolkit | + | In dieser Arbeit soll die GS1 Produktklassifikation in eine Ontologie transformiert werden. Der GS1 Produktklassifikationsstandard ist online |
- | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, | + | Die Aufgaben dazu sind: |
+ | * Einarbeitung in Web Scraping und Abfrage der Daten von GS1 | ||
+ | * Einarbeitung | ||
+ | * Erstellung des Jupyter Notebooks mit einem Beispiel, wie andere Ontologien verbunden werden können (die Beispielontologie wird gestellt) | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | | + | Contact: [[team: |
- | 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/ | + | < |
+ | == Development of Modules for Robot Perception (Student Job / HiWi) == | ||
+ | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. One particular research direction is the combination of computer vision with game engines. | ||
+ | In this context, we are offering multiple Hiwi positions / student jobs for the following tasks: | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http://robosherlock.org/|RoboSherlock]] which contains many algorithms for computer vision problems (mainly C++) | ||
- | Contact: [[team: | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding of the ROS middleware | ||
+ | The spoken language in this job is german or english, based on your preference. | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | Contact: [[team: |
+ | --></ | ||
- | Create models during runtime | + | == Development of Modules |
+ | In our research group, we focus on the development of intelligent robots that are combining modern computer vision methods | ||
+ | We are offering | ||
- | Requirements: | + | Requirements: |
- | * Good programming | + | * Solid experience in python and object-oriented |
- | * strong background in computer vision | + | * Basic understanding of the ROS middleware and Linux |
- | * ROS, OpenCV, PCL | + | * Basic understanding of computer vision methods |
- | Contact: [[team: | + | The spoken language in this job is german or english, based on your preference. Work can be done fully remote. |
- | == Simulation of a robots belief state to support perception(MA) == | + | Contact: [[team: |
+ | -- | ||
- | Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate | + | == Game Engine Developer |
+ | A recent development in the field of AI is the usage of photorealistic simulations, for example | ||
+ | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires a high degree of specialized game engine plugins that can simulate certain aspects of our research. Another important task is the creation of 3d models. | ||
- | Requirements: | + | Therefore, we are offering multiple Hiwi positions / student jobs for the following tasks: |
- | * Good programming skills | + | * Modelling of objects for the use in Unreal Engine 4. |
- | * strong background | + | * Creation of specific simulation aspects |
- | * Gazebo, OpenCV, PCL | + | |
- | Contact: [[team: | + | Requirements: |
- | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | |
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | * Experience |
- | + | ||
- | 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 | + | |
- | Requirements: | + | The spoken language |
- | * Good programming skills | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations: