Human-robot collaboration is an attractive option in many industries for transporting long and heavy items with a single operator. In this project, we aim to enable HRC transportation with a non-holonomic robotic base platform by designing a compliant manipulation mechanism, inspired by systems like the Omnid Mocobots. - Intelligent Robotics, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
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The goal of the project is to develop a simple and versatile method for production of robust conductive patterns on textile via deposition of conductive polymers. This technology will allow further development of wearable electronics for biomedical applications. - Chemistry, Medical and Health Sciences, Polymers
- Bachelor Thesis, Master Thesis
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The goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors. - Chemical Engineering, Chemistry, Composite Materials
- Master Thesis
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The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes. - Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
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In this project we would like to further explore if we can use our established Melt electrowritten tubular scaffolds and combine them with gels toward the application for vascular grafts. Melt electrowritten scaffolds allow us to finely control the wall geometry, which leads to controlled mechanical properties as well as porosity. However there are some limitations with this technology. This is where the addition of gels in the scaffold wall could benefit with porosity control, leackage as well as possible cell growth benefits.
Therefore we would like to investigate which gel would be viable for the application of a vascular graft based on mechanical and biological needs. We would find possible solutions to combine MEW scaffolds with gels and practically try different methods. Once a protocol(s) are established we would perform quantitative and mechanical characterisation and compare it to MEW only scaffolds as well as native tissues. - Biomedical Engineering, Chemical Engineering, Materials Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
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Lumbar spinal stenosis (LSS) is a condition characterized by the narrowing of the lumbar spinal canal, resulting in compression of the nerve roots or cauda equina. Patients with LSS often exhibit altered spinal kinematics and compensatory movement patterns, which can increase paraspinal muscle activity and segmental loads. This study aims to estimate the spinal loads in LSS patients using an advanced full-body musculoskeletal model within the AnyBody Modeling System, incorporating patient-specific motion-capture data. Gaining a deeper understanding of the differences in spinal kinematics between LSS patients and healthy individuals, and their effects on spinal loading, could inform more effective treatment and rehabilitation strategies. - Biomechanical Engineering
- Master Thesis
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While we have performed some basic mechanical tests to characterize Melt electrowritten tubular scaffolds, we would like to add other mechanical tests, based on ASTM standards, that would further allow us to have a better insight into mechanical properties of MEW scaffolds as well as to compare them to other vascular grafts as well as native tissues. Therefore we are searching for a motivated student who can see themself performing practical work producing tubular scaffolds as well as implementing mechanical tests. - Biomedical Engineering, Materials Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
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This project addresses the computational bottlenecks in model-free reinforcement learning (RL) with high-dimensional image inputs by optimizing Gaussian Splatting—a GPU-accelerated technique for photorealistic image generation from point clouds—for RL applications. By integrating pre-sorting methods, the project aims to enhance rendering speeds, enabling broader RL applications beyond geometric constraints or abstraction layers. Building on previous work involving risk annotations in Gaussian splats, the project seeks to develop generalizable RL policies that leverage real-world knowledge. - Intelligent Robotics
- Master Thesis, Semester Project
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The goal of the project is to test and optimize a smart sock prototype for plantar pressure measurements that was previously developed in the lab. The prototype will be optimized based on its ability to track pressure during everyday activities as a wearable device. Tests on healthy participants performing standard movements (e.g., walking, climbing stairs, etc) will be performed to compare the sock performance to a commercial gold standard smart insole system. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering
- Master Thesis, Semester Project
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The "in SEA2 SpineBot" Project aims to develop a robotic impedance measurement device capable of assessing the biomechanical properties of the adolescent spine with patient-specific anatomy. This highly interdisciplinary project will be the first of its kind to acquire in vivo data from patients with idiopathic adolescent scoliosis (AIS) during their correction surgery. It is a collaboration with the Children's Hospital of Basel (UKBB) and the Computational Bioengineering Group at ARTOG University of Bern.
Ensuring the functionality and reliability of the series elastic actuation (SEA) component of this device is a challenge in sensor development and signal electronics and is paramount to the project's overall success. - Clinical Engineering, Electrical Engineering, Mechanical Engineering
- Master Thesis
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