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Autonomous Drone Navigation via Learning from YouTube Videos University of Zurich Robotics and Perception Inspired by how humans learn, this project aims to explore the possibility of learning flight patterns, obstacle avoidance, and navigation strategies by simply watching drone flight videos available on YouTube. Computer Vision Master Thesis, Semester Project
Leveraging Event Cameras for 3D Gaussian Splatting Reconstruction under fast motion University of Zurich Robotics and Perception This project seeks to leverage the sparse nature of events to accelerate the training of radiance fields. Computer Vision Master Thesis, Semester Project
RL-based Navigation with Multi-Resolution Semantic Volumetric Maps ETH Zurich Robotic Systems Lab Other organizations: Autonomous Systems Lab Wavemap is a multi-resolution volumetric mapping framework. By integrating its 3D maps with RL pipelines, we want to enable robots to navigate in complex environments. Future semantic support will enable advanced applications like urban navigation and safe traversal of hazardous terrains. Intelligent Robotics Master Thesis
Enhancing Neural Scene Reconstruction through Multimodal Fusion University of Zurich Robotics and Perception The project aims to explore how prior 3D information can assist in reconstructing fine details in NeRFs and how the help of high-temporal resolution data can enhance modeling in the case of scene and camera motion. Computer Vision Master Thesis, Semester Project
Plasmonic Gas Sensing using Cu/CuxO Nanoparticles with Optical Read-out ETH Zurich Human-centered Sensing Laboratory Production of gas sensor based on plasmonic Cu/CuxO nanoparticles for detection and quantification of specific analytes with optical read-out by naked eye. Engineering and Technology Bachelor Thesis, Semester Project
BA-thesis proposal – the potential of drones for pesticide reduction in viticulture ETH Zurich Chair of Agricultural Economics and Policy D-MTEC Pesticide use and risk reduction are at the forefront of agricultural policy across Europe (e.g., Schneider, Barreiro-Hurle, and Rodriguez-Cerezo, 2023). Grapevine – being a very pesticide-intensive crop (e.g., Fouillet et al., 2022) carries a significant reduction potential and is thus the focus of reduction efforts, e.g., by replacing pesticides with mechanical alternatives (nets and traps), confusion techniques (pheromones), or by using the need for pesticides by relying on resistant cultivars (for example fungus-resistant varieties) (Pertot et al., 2017; Viret et al., 2019). Alongside such practices, pesticide use may also be made more efficient, i.e., by applying pesticides only when and where they are necessary. This can be done using drones, which have also proven successful in determining optimal timing and quantity for nitrogen fertilizer (Späti, Huber, and Finger, 2021) or the need for mechanical weed control intervention in winter wheat (Ziehmann, Huber, and Finger, 2024). However, due to the high costs (in acquisition, renting, as well as learning costs needed for operation and handling) of drones, their use is often not financially viable. Moreover, limiting factor for the use of unmanned aerial spraying systems in European agriculture is the high level of regulation (Anken et al. 2024, Stöcker et al. 2017). Grapevine, being a more high-value crop with a large reduction potential in pesticides as well as being a crop with high labor intensity, may make the use of drones for pesticide reduction more profitable, but more research is needed on this topic. The goal of this thesis is to assess the potential of drones for pesticide reduction in viticulture, by comparing benefits (i.e., reduction in pesticide quantity, number of applications, labor requirements) against drawbacks (i.e., associated costs). Moreover, the thesis shall reflect on the economic, regulatory and social boundary conditions for the use of drones. The goal is also to assess how this potential may differ between different pesticide categories (e.g., herbicides, insecticides, fungicides), or between production systems (e.g., organic systems, systems using mainly traditional varieties, or systems using mainly fungus-resistant varieties). Literature Anken, T., Saravanan, G., Waldburger, T., Werthmüller, J., Wohlhauser, R., & Sanderson, G. (2024). Transversal distribution of a spray drone applying different nozzles and measuring methods. Crop Protection, 179, 106603. Fouillet, E., Delière, L., Chartier, N., Munier-Jolain, N., Cortel, S., Rapidel, B., & Merot, A. (2022). Reducing pesticide use in vineyards. Evidence from the analysis of the French DEPHY network. European Journal of Agronomy, 136, 126503. Pertot, I., Caffi, T., Rossi, V., Mugnai, L., Hoffmann, C., Grando, M. S., ... & Anfora, G. (2017). A critical review of plant protection tools for reducing pesticide use on grapevine and new perspectives for the implementation of IPM in viticulture. Crop Protection, 97, 70-84. Schneider, K., Barreiro-Hurle, J., & Rodriguez-Cerezo, E. (2023). Pesticide reduction amidst food and feed security concerns in Europe. Nature Food, 4(9), 746-750. Späti, K., Huber, R., & Finger, R. (2021). Benefits of increasing information accuracy in variable rate technologies. Ecological Economics, 185, 107047. Stöcker, C., Bennett, R., Nex, F., Gerke, M., & Zevenbergen, J. (2017). Review of the current state of UAV regulations. Remote sensing, 9(5), 459. Viret, O., Spring, J. L., Zufferey, V., Gindro, K., Linder, C., Gaume, A., & Murisier, F. (2019). Past and future of sustainable viticulture in Switzerland. In BIO Web of Conferences (Vol. 15, p. 01013). EDP Sciences. Ziehmann, E., Möhring, N., and Finger, R. (2024). Economics of herbicide-free crop production. Applied Economic Perspectives and Policy, accepted. Plant Protection (Pests, Diseases and Weeds) Bachelor Thesis
Advancing Space Navigation and Landing with Event-Based Camera in collaboration with the European Space Agency University of Zurich Robotics and Perception In this project, you will investigate the use of event-based cameras for vision-based landing on celestial bodies such as Mars or the Moon. Engineering and Technology Master Thesis
Prototype system for a 12 kW Bidirectional Boost Converter for a Battery Interface ETH Zurich Laboratory for High Power Electronic Systems SA/MA project to design and build a 12 kW bidirectional boost converter Electrical Engineering Master Thesis, Semester Project
Object Pose Estimation using Line and Point Features ETH Zurich Computer Vision and Geometry Group We hope to push the state of the art on object pose estimation, especially for textureless objects, by using line features as well as point features. Information, Computing and Communication Sciences Master Thesis, Semester Project
Fine-tuning Policies in the Real World with Reinforcement Learning University of Zurich Robotics and Perception Explore online fine-tuning in the real world of sub-optimal policies. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

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