Autonomous Systems Lab

Open Opportunities

Continuous-Time Simultaneous-Localization and Mapping ETH Zurich Autonomous Systems Lab The emerging paradigm of Continuous-Time Simultaneous Localization And Mapping (CTSLAM) has become a competitive alternative to conventional discrete-time approaches in recent times and holds the additional promise of fusing multi-modal sensor setups in a truly generic manner, rendering its importance to robotic navigation and manipulation seminal. Based on our recent works, there are several possible and interesting extensions that are currently under consideration as student theses, spanning from research-oriented to engineering-oriented topics. We are looking forward to individually discussing the available theses in greater detail in person. Computer Vision, Intelligent Robotics Master Thesis, Semester Project

Label transfer from satellite to aerial imagery ETH Zurich Autonomous Systems Lab Other organizations: Vision for Robotics Lab The project aims to implement a semantic label transfer from satellite to aerial imagery in order to enable the training of image-based machine learning algorithms for autonomous aerial vehicle tasks, such as path planning, collision avoidance, and localization. Computer Vision, Intelligent Robotics Semester Project

Real world shelf stocking ETH Zurich Autonomous Systems Lab Shelves fully stocked with all sorts of food and household goods we can dream of: A picture made possible through regular shelf stocking by supermarket employees. Due to the tedious nature of this task, there is an increasing interest in robots performing this work [2]. However, while simple for humans, shelf stocking poses a challenge to robots: Shelves typically possess rather narrow openings and are increasingly cluttered the more they are stocked, requiring proper collision avoidance of the robot. In addition, goods come in all sorts of shape and form. The robot needs to be able to safely grasp and then place any goods in a stable pose to prevent damage to them. Intelligent Robotics Master Thesis, Semester Project

Long-Term Aerial Localization in Agricultural Environment ETH Zurich Autonomous Systems Lab Digital environments, or digital twins, allow for design, prototyping, and testing in the virtual world before moving to the real world, thus accelerating development and reducing costs. A digital twin of a farm supports crop operations such as scheduling a harvest or predicting a yield, while agritech companies can develop farm automation robots using a digital twin. The goal of this project is to develop 3D Reconstruction and localization strategies that are capable to identify temporal invariant areas and properties in crop environments during the production season. The main target is to be able to match the same plants over time. Computer Vision, Intelligent Robotics Master Thesis, Semester Project

Active Perception and Path Planning for Apple Picking ETH Zurich Autonomous Systems Lab In the face of global challenges in food security, climate change, and the escalating cost of labor, there exists an urgent necessity for innovative agricultural practices. Orchard farming presents an opportunity for the integration of robotics and with it increases productivity while simultaneously reducing operational costs. Apple picking in particular has generated a lot of interest, as apples are harder to damage than other crops, can be grown in dense flat plantations which present fewer challenges for visibility and reachability, and make up a significant share of the fruit market. Intelligent Robotics Master Thesis