 Institute of Robotics and Intelligent Systems D-HESTOpen Opportunities This project uses Visual Language Models (VLMs) for high-level planning and supervision in construction tasks, enabling task prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management.
prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management - Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Recent advancements in AI, particularly with models like Claude 3.7 Sonnet, have showcased enhanced reasoning capabilities. This project aims to harness such models for excavation planning tasks, drawing parallels from complex automation scenarios in games like Factorio. We will explore the potential of these AI agents to plan and optimize excavation processes, transitioning from simulated environments to real-world applications with our excavator robot. - Engineering and Technology
- Master Thesis, Semester Project
| Master thesis on novel devices and tools for both valve repair and replacement at Harvard Medical School - Engineering and Technology, Medical and Health Sciences
- Master Thesis
| We are developing robotic catheters for heart valve repair and for treatment of arrythmias. - Engineering and Technology, Medical and Health Sciences
- Master Thesis
| Three-dimensional medical imaging techniques such as Computed Tomography (CT) and MRI are indispensable in modern clinical workflows. CT utilizes X-rays acquired from multiple angles to reconstruct detailed volumetric patient anatomy data. Due to the harmful effects of ionizing radiation, especially in vulnerable populations such as infants, it is critical to minimize radiation exposure while maintaining diagnostic image quality.
Optimizing CT parameters requires systematic studies, yet direct experimentation on infants is ethically and medically unacceptable. This project aims to develop a novel infant head phantom that accurately replicates the radiological properties of an infant’s head. The phantom will serve as a testbed for CT imaging studies, enabling the optimization of scan parameters that balance minimal radiation exposure with high-quality image acquisition tailored for pediatric neuroimaging.
- Biomedical Engineering, Manufacturing Engineering, Materials Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Our project aims to enhance the ultrasound-assisted bioprinting process using real-time feedback and image processing. We have developed a transparent nozzle equipped with multiple cameras for real-time monitoring. The next steps involve integrating advanced image processing techniques, such as template matching, and implementing a feedback system to optimize the printing process. The system will be fully automated, featuring a function generator for wave creation and cooling elements. By analyzing the printing process and acoustic cell patterning with computer vision and leveraging real-time sensor feedback, we aim to dynamically optimize parameters such as frequency and amplitude for accurate and consistent pattern formation, crucial for bio applications. - Artificial Intelligence and Signal and Image Processing, Behavioural and Cognitive Sciences, Computation Theory and Mathematics, Computer Software, Engineering and Technology, Information Systems, Medical and Health Sciences
- Bachelor Thesis, Master Thesis
| Enable Birds-Eye-View perception on autonomous mobile robots for human-like navigation. - Computer Vision, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Photogrammetry and Remote Sensing
- ETH Zurich (ETHZ), Master Thesis
| Elevate semantic scene graphs to a new level and perform semantically-guided navigation and interaction with real robots at The AI Institute. - Computer Vision, Engineering and Technology, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- ETH Zurich (ETHZ), Master Thesis
| In this thesis, you will contribute to the Autonomous River Cleanup (ARC) by helping develop SARA, a bridge-mounted, camera-based system for monitoring river waste. Your focus will be on modeling the system’s power dynamics to determine the ideal battery and solar panel size, and balancing runtime throughout the day with overall the system size and weight. If time allows, you will also validate your findings with tests on the real hardware. - Engineering and Technology
- Bachelor Thesis, Semester Project
| In this thesis, you will work on SARA, a bridge-mounted, smartphone-based system for detecting and monitoring river waste. The focus will be on selecting lightweight detection and classification models suitable for smartphones and exploring domain adaptation techniques to improve performance across different locations with minimal retraining. Your work will build on previous research at ARC and current literature to develop solutions that balance model robustness and computational efficiency. - Engineering and Technology
- Semester Project
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