Student Projects

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Detection, Pose Estimation and Manipulation of Arbitrarily Shaped Objects

Depending on student's interest and background there are multiple available projects within the scope of mobile manipulation project described below. Show details 

Deep Learning for Semantic SLAM

The goal of this project is to train a deep neural network to segment robot sensor data (vision / LiDAR) into semantic scenes. The segmentation is then used to facilitate the SLAM process. Show details 

Deep Scale Learning for Visual Motion Estimation (MA/SA)

The goal of this project is to train a deep neural network to estimate scale for a purely visual motion estimation framework. This will enable robots to perform metric ego-motion estimation without use of additional information sources such as an IMU or wheel encoders. Show details 

3D Object Registration

The goal of this project is implementing and evaluating an object detection algorithm that is capable of dealing with clutter. Show details 

Learning Visual Object Descriptors

The goal of this project is developing and evaluating a machine learning based full-object descriptor algorithm for object retrieval Show details 

Computer vision & state estimation for fixed-wing UAVs

If you are interested in computer vision and/or state estimation in combination with UAVs, please send an e-mail to and attach your CV, grades & programming experience. Show details 

Spatio-temporal-Spectral Environment Modeling using a UAV

The goal of this thesis is to use a Micro Air Vehicle equipped with inertial sensors, a high resolution colour camera and lower resolution multispectral camera to collect and measure field parameters which will enable an analysis of crop health, determination of variations within the field in space Show details 

Human-Robot Cooperative Interaction for a Manipulation Task

The goal of this project is to develop a system for human-robot cooperation for a manipulation task on a tabletop-sized workspace. Show details 

Line Descriptors for Place Recognition

The goal of this project is to implement the current state-of-the-art line descriptors and evaluate their performance on some of the publicly available datasets for place recognition. Show details 

Multi-robot Mapping, Navigation and Exploration (MA/SA)

Master/Semester thesis at the Autonomous Systems Lab at ETH Zurich. The mapping and localization team is looking for motivated students for projects in the field of mapping, localization, machine learning, exploration and 3D reconstruction. Show details 

Deep Reinforcement Learning for Motion Planning

Tuning a motion planner can be a cumbersome endeavor. In our recent work we showed how neural networks can be used for imitation learning. This work builds on top of supervised imitation learning, such that reinforcement learning techniques should be applied to robot navigation. Show details 

Augmented Reality based Assembling Guidance Using Microsoft HoloLens

The goal of this project is to develop a system to support assembly workers by means of visual assembly guidance using augmented reality. Show details 

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

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