Robotics and Perception

Open Opportunities

Improving SLAM in the Operating Room Using Event Cameras University of Zurich Robotics and Perception Other organizations: Research in Orthopedic Computer Science This project focuses on enhancing SLAM (Simultaneous Localization and Mapping) in operating rooms using event cameras, which outperform traditional cameras in dynamic range, motion blur, and temporal resolution. By leveraging these capabilities, the project aims to develop a robust, real-time SLAM system tailored for surgical environments, addressing challenges like high-intensity lighting and head movement-induced motion blur. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Low Latency Occlusion-aware Object Tracking University of Zurich Robotics and Perception Low Latency Occlusion-aware Object Tracking Engineering and Technology Master Thesis

Reading in the Dark University of Zurich Robotics and Perception Reading in the Dark Engineering and Technology Master Thesis

Electrical Flow-Based Graph Embeddings for Event-based Vision and other downstream tasks University of Zurich Robotics and Perception This project explores a novel approach to graph embeddings using electrical flow computations. Artificial Intelligence and Signal and Image Processing, Knowledge Representation and Machine Learning, Mathematics Master Thesis

Vision-Based Agile Aerial Transportation University of Zurich Robotics and Perception Develop a vision-based aerial transportation system with reinforcement / imitation learning. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Leveraging Long Sequence Modeling for Drone Racing University of Zurich Robotics and Perception Study the application of Long Sequence Modeling techniques within Reinforcement Learning (RL) to improve autonomous drone racing capabilities. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis

Neural Architecture Knowledge Transfer for Event-based Vision University of Zurich Robotics and Perception Perform knowledge distillation from Transformers to more energy-efficient neural network architectures for Event-based Vision. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis

Improving Event-Based Vision with Energy-Efficient Neural Networks University of Zurich Robotics and Perception Explore novel ideas for low-cost but stable training of Neural Networks. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project

Hybrid Spiking-Deep Neural Network System for Efficient Event-Based Vision Processing University of Zurich Robotics and Perception Master's thesis in collaboration with SynSense: Neuromorphic Intelligence & Application Solutions Artificial Intelligence and Signal and Image Processing, Dynamical Systems Master Thesis

Fast Object Detection Using Spiking Neural Networks and Event Cameras for Real-Time Scene Analysis University of Zurich Robotics and Perception This project leverages spiking neural networks (SNNs) and event cameras to create a real-time system for detecting fast-moving objects with high efficiency and minimal latency. Engineering and Technology, Information, Computing and Communication Sciences Master Thesis, Semester Project