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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
- | < | + | =====Open researcher positions===== |
- | == Lisp / CRAM support assistant (HiWi) | + | |
- | Technical support | + | ====Digital Twin Knowledge Base for submarine robot inspection/ |
- | 5 hours per week for up to 1 year (paid). | + | The Institute |
- | Requirements: | + | As a researcher of the IAI, you actively research by applying and extending the elaborated methods and tools of the IAI (e.g., CRAM, KnowRoB, and openEASE) to the uncertainties of limited resources, computation, |
- | * Good programming skills | + | |
- | * Basic ROS knowledge | + | |
- | The student will be introduced to the CRAM framework at the beginning of the job, which is a robot programming framework written | + | **Prerequisites: |
+ | * Digital Twins | ||
+ | * Knowledge Representation | ||
+ | * Data structures | ||
+ | * Data Stream Representation. | ||
- | Contact: [[team: | + | **Hiring institution:** University of Bremen |
- | --> | + | |
- | </ | + | |
+ | **PhD Enrollment: | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | The PhD examination acceptance requires a “Certificate of Equivalence for Foreign Vocational Qualifications”. More information available at [[https:// |
- | | + | |
- | Integrating | + | **Duration of the project:** 36 months |
+ | |||
+ | **Main Academic Supervisor: | ||
+ | |||
+ | **Co-supervisors:** prof. Einar Broch Johnsen (UiO, Norway), dr. Peter Kampmann (ROSEN, Germany) | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page. | ||
+ | |||
+ | |||
+ | == Physics-based grasping | ||
+ | |||
+ | Implementing physics-based grasping models in virtual environments, | ||
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Basic physics/rendering engine knowledge | + | * Familiar with skeletal animations |
- | * Basic ROS knowledge | + | * Experience with simulators/physics-/game- engines |
- | * UE4 basic tutorials | + | * Familiar with Unreal Engine API |
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Realistic Grasping using Unreal Engine (BA/MA) == | ||
- | {{ : | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | The objective of the project is to implement var- | + | Technical support for the group for Lisp and the CRAM framework. \\ |
- | ious human-like grasping approaches in a game developed using [[https:// | + | 8+ hours per week for up to 1 year (paid). |
- | The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting the table, cleaning the dishes etc. The interaction is done using various sensors to map the users hands onto the virtual hands in the game. | + | Requirements: |
+ | * Good programming skills | ||
+ | * Basic ROS knowledge | ||
- | In order to improve | + | The student will be introduced |
- | be able to switch during runtime | + | |
- | grasp, precision grip etc.) he/she would like to use. | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C++ | + | |
- | * Good knowledge of the Unreal Engine API. | + | |
- | * Experience with skeletal control / animations / 3D models in Unreal Engine. | + | |
+ | Contact: [[team: | ||
+ | --></ | ||
- | Contact: [[team/andrei_haidu|Andrei Haidu]] | + | < |
+ | == Mesh Editing | ||
+ | {{ : | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | |
- | {{ : | + | |
- | + | ||
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Basic physics/rendering engine knowledge | + | * Familiar with Blender |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
+ | == 3D Animation and Modeling (Student Job / HiWi)== | ||
+ | {{ : | ||
- | == Automated sensor calibration toolkit | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models in Blender / Maya (or other). Further importing and testing the | ||
+ | models against Unreal Engine. | ||
- | Computer vision is an important part of autonomous robots. For robots | + | Bonus: Working with state of the art 3D Scanners [[https:// |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | 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 [1] | ||
- | * operate autonomously | ||
- | Requirements: | + | == Sprachgesteuertes Leitsystem (BA Thesis) == |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http://www.halcon.de/ | + | Weiterentwicklung eines sprachgesteuerten Leitsystems zu gesuchten Produkten im Einzelhandel für Smartphones (Android) basierend auf Ankerpunkten und einer Anbindung an Wissensgraphen. |
+ | Dabei wird auf bestehende Apps aufgebaut. | ||
- | Contact: [[team: | + | Aufgaben: |
+ | * App Entwicklung mit der Unity game engine und Flutter | ||
+ | * Erweiterung der Sprachsteuerung | ||
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen für die Sprachsteuerung | ||
- | == 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, | + | Contact: [[team: |
- | Requirements: | + | == Sprachauswahl für Shopping Assistenten (BA Thesis) == |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | + | Weiterentwicklung eines Produktinformationssystems im Einzelhandel für Smartphones (Android) um eine Sprachauswahl. Anzeige der jeweiligen Informationen in der gewünschten Sprache. |
+ | Dabei wird auf bestehende Apps aufgebaut. | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Aufgaben: |
+ | * App Entwicklung mit der Unity game engine und Flutter | ||
+ | * Erweiterung der App um eine Sprachauswahl | ||
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen für Sprachmodellierung | ||
- | 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, | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * Gazebo, OpenCV, PCL | + | |
- | Contact: [[team: | + | == Situational awareness in kitchen environments (MA Thesis) == |
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | This is a knowledge representation topic including knowledge graphs. The idea is so link external Web-knowledge to an existing knowledge framework in order to include situational awareness so that a robot acting in a household environment can infer what an object is used for in a given situation. |
- | 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 result would be that a spoon next to a bowl with cereal would be used for eating while a spoon on a stove next to a pot would be used for stirring. |
- | Requirements: | + | requirements: |
- | * Good programming skills in C/C++ | + | * Work with KnowRob knowledge processing framework |
- | * strong background in 3D vision | + | * Work with knowledge graphs and Linked Data to create a situational awareness knowledge graph that can be linked to KnowRob |
- | * basic knowledge of ROS, OpenCV, PCL | + | * Implement reasoning about situations (based on perceived environment) and object use |
- | Contact: [[team: | ||
- | == Semantic Collision Checking for Planning Robot Manipulation Tasks == | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
- | {{ :research:boxy_dough_rolling.png? | + | |
- | Service robots helping humans at home shall perform manipulation tasks like wiping a table or polishing glass surfaces. To successfully complete these tasks, robots needs to establish the ' | + | |
- | 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: | + | == Development of Modules for Robot Perception and Game Engine Technology (Hiwi Job) == |
- | * basic knowledge | + | A recent development in the field of AI is the usage of photorealistic simulations, |
- | * basic knowledge | + | 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. |
- | * interest in using KnowRob | + | In this context, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
+ | * Modelling | ||
+ | * Creation | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | 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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