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BSc Thesis, MSc Thesis, Forschungspraxis Oppurtunity at Chair of Robotics and Systems Intelligence

BSc Thesis, MSc Thesis, Forschungspraxis Oppurtunity at Chair of Robotics and Systems Intelligence

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BSc Thesis, MSc Thesis, Forschungspraxis Oppurtunity at Chair of Robotics and Systems Intelligence

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BSc Thesis, MSc Thesis, Forschungspraxis Oppurtunity at Chair of Robotics and Systems Intelligence

22.04.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Background: Joint stiffness plays a critical role in robotic system performance, particularly in tasks requiring precision, force control, or dynamic interaction. However, stiffness in robotic joints is rarely a single-dimensional property—it often results from the combination of multiple mechanical and control-related factors such as springs, transmissions, gear stages, and compliance in the structure. This project aims to develop a modular and combinatorial model that analyses joint stiffness as an emergent property of different components. This project will support the design and evaluation of more predictable, tunable, and task-specific joint architectures by exploring how various stiffness elements contribute to the overall joint behaviour, both in isolation and in combination.

Objectives:
Develop a modular model for joint stiffness representation
Classify and model different stiffness sources (spring, structural, parasitic, etc.)
Investigate how combined elements affect joint behaviour under varying loads.
Simulate and (if feasible) validate different stiffness configurations
Provide tools or visualisations for stiffness tuning and joint evaluation
Possible Work Packages:
Review literature on joint stiffness modelling, classification, and tuning methods
Define a framework for decomposing joint stiffness into controllable and passive components.
Create a modular simulation environment to model different stiffness combinations.
Analyse how different configurations affect joint stability, energy usage, and responsiveness.
Implement and test selected configurations on a joint-level hardware testbed
Summarise findings and develop a guideline or tool for evaluating joint stiffness behaviour.

Prerequisites:
Educational Background: Mechanical Engineering (with electronics knowledge), Mechatronics Engineering
Skills:
Good understanding of robotic actuation and mechanical compliance
Familiarity with joint-level modelling (elasticity, damping, transmission effects)
Experience with simulation tools (e.g., MATLAB/Simulink, Simscape, or Adams)
Analytical thinking for decomposing and re-composing system properties
Hands-on skills in prototyping and testing joint modules
Optional: Experience with stiffness measurement or system identification techniques
Advanced solid mechanics knowledge
Mindset: Curiosity for how mechanical properties interact in complex systems.
GPA Requirement: Minimum GPA of 2.3
Language Requirement: C1 English
Expected Graduation: After December 2025

What do I offer?
A very challenging and scientifically satisfactory work.
Upon successful results, co-authorship in my publications.
Unlimited cold beverages.
Quarterly group dinners, during summer days, and barbecues.
Know-how about hardware development, design, machine tools, modelling, DAQs, sensors, experiment design, robotics, academic writing and presentation.

Application Process:

Please follow this link https://www.mehmetcanyildirim.com/for-students/supervision to reach the application form. It is essential for you to take the time to fill out the form in detail. Also, with this link, you will be able to check my other offerings as well; feel free to apply for more than one, but please make sure that you mention all these in your motivation letter. If you have further questions, please send me an email with the subject "MSc/BSc Thesis/Forschungspraxis/Internship/Semesterarbeit - Opening Title - Email Topic"

If you have a friend or a group of friends you enjoy working with, I encourage you to apply together. A group application will be a great opportunity if you have different backgrounds, like mechanical hardware and programming.

You can merge projects like Forschungspraxis+MSc Thesis.

Upon submission of your application, it will undergo a review process. If you are found to be a good fit for the topic, you will receive an invitation for an interview. We kindly ask that you refrain from sending follow-up emails to inquire about your application status until one week after the deadline for this call. You will receive an email notification if your application is unsuccessful, and all submitted information and documentation will be discarded.

Please note that part of the interview will include an oral evaluation of your background and comprehension of concepts pertinent to the thesis. Demonstrating thorough preparation, creativity, and initiative will be beneficial. Before the interview, you will be assigned a brief task (such as modelling, simulation, or a paper study), and additional questions will be related to this task during the interview.

Applications and theses must be submitted in English. Giving a final presentation and reporting for the non-thesis openings is also mandatory.

Kontakt: mehmet.yildirim@tum.de

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