Idea: The focus of this thesis is on human-robot interaction. The goal of this thesis is to investigate interaction possibilities to support clinical care as well as their coupling to a service robot. The use of different human-robotics components will be investigated and analyzed by means of a study in the field of nursing. The challenges for the nursing staff play a central role as well.

Previous experience: Analytical skills, interest in human-robotics interaction.

Study programs: Business administration, business informatics or related study programs with focus on data science, human-machine interaction or artificial intelligence

Thesis: Bachelor thesis

Idea: Our project “HoLLieCares” is about the development of a healthcare robot, which should support simple and more demanding fields of work in nursing. The collaboration between humans and robots is a special challenge. The goal is the full stack development of a software service for the coupling of touch, speech, gesture and brain interfaces, which enables the multiple control of the robot.

Previous experience:
Good knowledge of JavaScript, TypeScript, HTML and CSS.
Practical experience in working with relational as well as document-based database systems
Experience working with frameworks such as Angular, Express.js, Node.js or Mongoose is an advantage

Study programs: Computer science, business informatics or related courses of study with a focus on human-machine interaction or artificial intelligence

Thesis: Master thesis

Idea: Virtual Reality has achieved positive results in many areas, e.g. in various forms of therapy, training of surgeons or viewing of imaging procedures. The thesis will develop a collaborative and immersive VR environment to study the effects of immersive procedures (haptic gloves/suits, retina display VR goggles, locomotion with motion hardware) and collaborative interactions in relevant healthcare settings (bpsw. confrontation therapy). The developed environment will thus be used to evaluate the impact of immersion and collaboration in the selected healthcare domain.

Prior Knowledge:
Analytical skills
3D and/or VR development (e.g. Unity or Unreal Engine)
Good knowledge of C#/C++ or general OOP.

Study programs: Computer Science, Human Computer Interaction and related courses of study

Thesis: Master thesis

Idea: Desktop activity mining captures the execution of digital processes. Unique process identifiers (UPI) are to be identified and classified in these recorded sequences. This means that for a recorded business process of invoicing, for example, the document number of the invoice can be regarded as a unique identifier. Process identifiers thereby identify a unique sequence of sub-processes of an overall process execution.

Prior knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Idea: A process is represented in the desktop activity mining application by means of a directed graph. Several execution instances of a process are combined in one graph. The goals of the thesis are, on the one hand, to determine the optimal execution path and, on the other hand, to identify optional/unnecessary process activities

Prior Knowledge: AI algorithms, graph theory

Study programs: Computer Science or Mathematics

Thesis: Bachelor or Master thesis

Idea: Digital processes are captured by means of desktop activity mining at event level, i.e. input level of mouse and keyboard. Desktop activity mining also captures the applications used and the user’s interaction with them. Typical activities, such as retrieving emails, defined business processes (e.g., invoicing), etc., are to be recognized and classified within the entire recording here.

Prior Knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Idea: Digital processes are captured by means of desktop activity mining at event level, i.e. input level of mouse and keyboard. Desktop activity mining also captures the applications used and the user’s interaction with them. Individual process executions are to be automatically detected in a longer interaction record containing multiple executions of different processes. Similarly, individual process steps shall be extracted automatically.

Prior Knowledge: AI algorithms

Study programs: Computer science or mathematics with focus on AI

Thesis: Bachelor or Master thesis

Idea: The goal is to develop a business model for trading (micro) flexibilities in the low-voltage grid. The participants are the prosumer/flexsumer households on the one hand and the grid operator or supplier on the other. One challenge is to encourage households to participate in economically driven trading instead of using their own flexibility potential for self-optimization. Thus, the business model must provide economic incentive points for the prosumer/flexsumer households, but at the same time must be economically profitable for the grid operator/utility to avoid resorting to traditional grid reinforcement mechanisms.

Prior Knowledge: Knowledge of framework conditions, restrictions and business models in the energy industry.

Study programs: Business administration, business informatics, industrial engineering, renewable energies or similar.

Thesis: Bachelor thesis

Idea: The aim of the work is the software implementation and completion of a demonstrator in the field of non-intrusive load monitoring (NILM). At the beginning of your work, you will be familiarised with the already existing hardware solution of the demonstrator, which is able to record the load profiles of connected consumers. Your task will be to read out the installed IoT gateway and organise the data in a suitable cloud-based database and analyse it using NILM algorithms.

Prior Knowledge: Knowledge of common programming languages, especially C# and Python; experience in data analysis and basic knowledge of electrical engineering.

Study programs: Computer science, electrical engineering, renewable energies or comparable courses of study

Thesis: Bachelor thesis