392243 Embedded Machine-Learning (EML) (Pj) (SoSe 2019)

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This project is given in English and German.

This project is about realization of machine-learning methods in resource limited system like IoT devices or the robot platform AMiRo. While heavy processing of such algorithms is often done externally, the system developed in this project shall be autonomous and self-sufficient. As a result, concepts must not only take quality into account, but also efficiency and feasibility with respect to the target platform.

In diesem Projekt sollen Verfahren des Maschinellen Lernens auf ressourcenbeschränkten Systemen, wie z.B. IoT-Geräten oder dem Miniroboter AMiRo, umgesetzt werden. Während die damit verbundenen Berechnungen oftmals auf externe Dienste ausgelagert werden, soll das im Rahmen dieses Projekts entwickelte System eigenständig und unabhängig sein. Daher sind bei der Entwicklung der Verfahren nicht nur Qualität, sondern auch Effizienz und Umsetzbarkeit auf der Zielplattform wichtige Anforderungen.

Requirements for participation, required level

Knowledge/skills in machine-learning, C programming, robotics and software development in microcontrollers are beneficial.

Kentnisse in Machine-Learning, C-Programmierung, Robotik, und Softwareentwicklung auf Mikrocontrollern sind von Vorteil.

Teaching staff

Subject assignments

Module Course Requirements  
39-M-Inf-P1_NWI Projekt 1 Projekt 1 Ungraded examination
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E-Learning Space
E-Learning Space
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SS2019_392243@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Thursday, October 10, 2019 
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Type(s) / SWS (hours per week per semester)
project (Pj) / 4
Language
This lecture is taught in english
Department
Faculty of Technology
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ID
165949018