MPG ETH CLS Student Projects


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Distributed Wireless Control

In a new research project, we seek to integrate recent advances in wireless networking with networked control to develop a superior solution for reliable and economic wireless control for cyber-physical systems (CPSs).

Distributed control networked control wireless networks cyber-physical systems theory application

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Visual and Event-based Cameras for Robot Navigation

This project aims to explore the benefits of integrating the output of a conventional frame-based camera (capturing visible light) with that of an event-based camera, such as the Dynamic Vision Sensor (DVS) in the context of robot navigation and Simultaneous Localization And Mapping (SLAM).

Camera Calibration DVS Sensor Fusion Event-based processing Real-time SLAM Computer Vision

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Recurrent Neural Network for Skeleton Based Action Recognition

In this project, the main challenge is to explore how to design a suitable RNN framework for human joints data.

RNN Skeleton Action recognition Benchmarks

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Stylus-based Hand-written Formulae Recognition

The overall goal of this project is to explore novel ways to automatically recognise and digitalise hand-written formulae.

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Human Motion Estimation

We want that a quadrotor precisely track and follow a person also during fast motion changes, we want to predict the human motion using body worn Sensors. Especially we want to instantaneously estimate the human velocity and acceleration as well as the direction of the movement.

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Deep Learning for EyeTracking

In this project, we aim to explore appearance-based gaze estimation using convolutional neural networks, with the aim of improving on state-of-the-art performance.

Eye tracking Appearance-based gaze estimation Deep convolutional neural networks Machine Learning

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Robotic Scene Understanding with Deep Semi-Supervised Learning

The goal of this project is implementing, developing and evaluating a machine learning system for robotic scene understanding over time from multiple sensor modalities.

Machine Learning TensorFlow Caffe Sensor fusion Autoencoder

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Learning Control

Machine learning for advanced control of intelligent systems

Control machine learing adaptive control robotics dynamic systems optimization intelligent systems

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