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jobs [2014/08/29 11:12] – [Theses and Jobs] ahaidu | jobs [2022/12/05 08:02] – [Open researcher positions] pmania | ||
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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | |||
+ | We currently don't have any open positions for researchers. | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == GPU-based | + | < |
+ | == Physics-based | ||
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models | + | Implementing physics-based grasping |
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with skeletal animations |
+ | * Experience with simulators/ | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
+ | --></ | ||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | < |
+ | == Lisp / CRAM support assistant | ||
- | Markov Logic Networks (MLNs) combine | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Experience | + | * Good programming skills |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | * Basic ROS knowledge |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | 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: | ||
+ | --></ | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | < |
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | {{ : | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | |
- | are investigating methods for combining multimodal sources of knowledge | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Requirements: |
- | development and the integration of probabilistic methods | + | * Good knowledge |
+ | * Familiar with Blender / Maya (or other) | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | Contact: [[team/ |
+ | --></ | ||
- | Tasks: | ||
- | * Implementation of an interface to the Robot Operating System (ROS). | ||
- | * Linkage of the knowledge base to the executive of the robot. | ||
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | ||
- | Requirements: | + | < |
- | * Studies in Computer Science | + | == 3D Animation and Modeling |
- | * Basic skills in Artificial Intelligence | + | {{ :research:kitchen_unreal.jpg? |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models in Blender / Maya (or other). Further importing and testing the | ||
+ | models against Unreal Engine. | ||
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Bonus: Working with state of the art 3D Scanners |
- | [1] www.robohow.eu\\ | + | Requirements: |
- | [2] http://www.youtube.com/ | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | Contact: [[team: | ||
+ | --></ | ||
- | == Depth-Adaptive Superpixels | + | == Representing knowledge in a robot-agnostic ontology system for assistive robotics |
- | {{ : | + | |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. | + | |
- | Since the current implementation of DASP is not very performant | + | The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich and the Institute |
- | Requirements: | + | Summary: |
- | * Basic knowledge | + | * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen. |
- | * Good programming skills in C/C++. | + | * Refactor an existing knowledge database (known as the Object DataBase, ODB) used by the DLR into an ontology. |
- | * Experience with CUDA is helpful | + | * Use the ontology to design tasks in the assistive robotics domain using assistive robots provided by the DLR |
- | Contact: [[team: | + | Full offer: |
+ | {{ : | ||
- | == Physical Simulation of Humans (BA/MA)== | + | Contact: [[team:daniel_bessler|Daniel Beßler]] |
- | | + | |
- | For tracking people, the use of particle filters is a common approach. However, the quality of those filters heavily depends on the way particles are spread. In this thesis, a library for the physical simulation of a human model is to be implemented. | + | == Linking saref to SOMA (BA Thesis) == |
- | Requirements: | + | Wissensrepräsentation: Semantische Integration der saref Ontology (https:// |
- | * Good programming skills in C/C++ | + | |
- | * Optional: Experience | + | |
- | Contact: [[team: | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
- | | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == |
- | Requirements: | + | In dieser Thesis soll untersucht werden, ob die Autonomie von Robotern durch Integration von Wissen zu Aufbewahrungsorten von Produkten aus dem Internet erhöht werden kann. Es gibt verschiedene websites, die Wissen dazu bereitstellen. Dieses Wissen soll von den websites abgefragt und anschließend sinnvoll ontologisiert werden. Anhand verschiedener Fragen werden die Ergebnisse evaluiert (Menge der erworbenen Informationen/ Nutzen der Information, |
- | * Good programming skills in C/C++ | + | |
- | * Basic physics/ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Aufgaben: |
+ | * Wissensakquise aus dem Internet | ||
+ | * Wissensrepräsentation/ | ||
+ | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
+ | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating the eye tracker in the [[http:// | + | Contact: |
- | Requirements: | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | * Good programming skills in C/C++ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | In this thesis, the goal is to make a robotic system learn new objects automatically. |
+ | The system should be able to generate the necessary models required for re-detecting it again and also consult online information sources to automatically acquire knowledge about it. | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | The focus of the thesis would be two-fold: |
- | | + | * Develop methods to automatically infer the object class of new objects. This would include perceiving it with state of the art sensors, constructing a 3d model of it and then infer the object class from online information sources. |
+ | * In the second step the system should also infer factual knowledge about the object from the internet and assert it into a robotic knowledgebase. Such knowledge could for example include the category of this product, typical object properties like its weight or typical location and much more. | ||
- | Improving the skeletal tracking offered by the [[https:// | ||
- | |||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Knowledge about sensor data processing |
+ | * Interest | ||
+ | * Work with KnowRob knowledge processing framework | ||
- | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | + | Contact: [[team:patrick_mania|Patrick Mania]] |
- | | + | |
- | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines | + | < |
+ | == 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 currently 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 | ||
- | Currently there is an [[http://gazebosim.org/ | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding | ||
+ | The spoken language | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Contact: [[team: |
- | and should be implemented (PCISPH/IISPH). | + | --></html> |
- | The interaction between the fluid and the rigid objects | + | == Game Engine Developer |
+ | A recent development in the field of AI is the usage of photorealistic simulations, for example to create Digital Twins of environments like households or [[https:// | ||
+ | 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. | ||
- | Another topic would be the visualization of the fluid, currently | + | Therefore, we are currently |
- | + | * Modelling of objects for the use in Unreal Engine 4. | |
- | Here is a [[https:// | + | * Creation of specific simulation aspects in Unreal Engine 4. For example the development |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. |
- | * Interest | + | * Experience |
- | * Basic physics/ | + | |
- | * Gazebo simulator | + | |
- | Contact: [[team: | + | The spoken language in this job is german or english, based on your preference. |
+ | 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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