Student Projects
Collision Avoidance - Master Thesis at Avientus
Avientus is a startup that specializes in developing cutting-edge, heavy-duty automated drone transportation systems designed to revolutionize logistics and industrial applications. To further enhance the safety and reliability of their drones, we are offering a Master Thesis opportunity in the field of collision avoidance for drones.
Keywords
Collision avoidance, Computer vision, Drones
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Master Thesis
Description
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Published since: 2025-01-20 , Earliest start: 2025-01-21 , Latest end: 2025-06-30
Applications limited to ETH Zurich
Organization Autonomous Systems Lab
Hosts Mascaro Rubén , Chli Margarita
Topics Information, Computing and Communication Sciences
ETH Robotics Student Fellowship 2025
30 June - 29 August 2025. The ETH Robotics Student Fellowship (ETH RSF) program offers graduate students the opportunity to research alongside experts on the specific topic of robotics of their choice. This fellowship takes place during summer and is open to all students worldwide.
Labels
Internship , Lab Practice , ETH Robotics Student Fellowship (ETHZ) , Summer School
Program Website
Application deadline
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Published since: 2025-01-09 , Earliest start: 2025-06-30 , Latest end: 2025-08-29
Organization Student Exchange Office
Hosts Cadena Cesar , ETH Center for Robotics Program Manager
Topics Information, Computing and Communication Sciences , Engineering and Technology
Odometry and Mapping in Dynamic Environments
Existing lidar-inertial odometry approaches (e.g., FAST-LIO2 [1]) are capable of providing sufficiently accurate pose estimation in structured environments to capture high quality 3D maps of static structures in real-time. However, the presence of dynamic objects in an environment can reduce the accuracy of the odometry estimate and produce noisy artifacts in the captured 3D map. Existing approaches to handling dynamic objects [2-4] focus on detecting and filtering them from the captured 3D map but typically operate independently from the odometry pipeline, which means that the dynamic filtering does not improve the pose estimation accuracy.
Keywords
Odometry, Mapping, SLAM, Dynamic Environments
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Semester Project , Master Thesis
Description
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Published since: 2024-12-16 , Earliest start: 2025-01-05 , Latest end: 2025-06-30
Applications limited to ETH Zurich
Organization Autonomous Systems Lab
Hosts Mascaro Rubén , Chli Margarita
Topics Information, Computing and Communication Sciences , Engineering and Technology
Dense Monocular SLAM with 3D Gaussians - Collaboration with Google
This project offers a unique opportunity to work on cutting-edge technologies shaping the future of AR/VR and robotic perception. The selected candidate will benefit from direct supervision by researchers in Federico Tombari’s team at Google.
Keywords
Simultaneous Localization and Mapping, SLAM, 3D Gaussian Splatting, 3DGS
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Master Thesis
Description
Work Packages
Requirements
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Published since: 2024-12-09 , Earliest start: 2025-01-06 , Latest end: 2025-06-30
Applications limited to ETH Zurich
Organization Autonomous Systems Lab
Hosts Mascaro Rubén , Chli Margarita
Topics Information, Computing and Communication Sciences
Data-efficient learning of world models
Model-based reinforcement learning uses world models to predict the outcomes of a robot's actions, allowing it to "imagine" new interaction trajectories and reduce data needs. However, learning a high-fidelity world model requires a large amount of data. This thesis aims to minimize the amount of real-world data required to learn a world model. We will staet experimenting with simple tasks, such as pushing objects on a table, and eventually test our ideas on a real robot arm.
Keywords
World models; Deep Learning; Reinforcement Learning; Robotics
Labels
Master Thesis
Description
Work Packages
Requirements
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Published since: 2024-12-06 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Autonomous Systems Lab
Hosts Schiavi Giulio
Topics Information, Computing and Communication Sciences , Engineering and Technology
Vision- and Depth-based Reinforcement Learning for dexterous and accurate manipulation with Aerial Robots [multiple openings]
Our team develops novel Aerial Robots that are able to autonomously manipulate and perform work in flight. In this thesis, we would like to explore the learning of task-specific policies for manipulation in flight.
Keywords
Reinforcement Learning, Aerial Robotics, Manipulation, Drones, drone, uav, aerial robot, learning, data-driven
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Master Thesis
Description
Work Packages
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Published since: 2024-12-03 , Earliest start: 2024-09-30
Applications limited to ETH Zurich , University of Zurich
Organization Autonomous Systems Lab
Hosts Pantic Michael , Allenspach Mike , Stastny Thomas
Topics Information, Computing and Communication Sciences
Stefan Leutenegger's Lab at ETHZ
Labels
Internship , Lab Practice , ETH Robotics Student Fellowship (ETHZ) , Summer School
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Published since: , Earliest start: 2025-06-30 , Latest end: 2025-08-29
Organization Department of Mechanical and Process Engineering
Hosts Cadena Cesar , ETH Center for Robotics Program Manager
Topics Information, Computing and Communication Sciences , Engineering and Technology
Note on plagiarism
We would like to suggest every student, irrespective of the type of project (Bachelor, Semester, Master, ...), to make himself/herself familiar with ETH rules regarding plagiarism