Beitrags-Archiv für die Kategory 'DA_Mobile Systems'

Master Thesis: Energy-Aware Multi-Robot Exploration

Dienstag, 19. April 2016 14:33

Background

In mobile robotics a very prominent task is to explore an unknown environment. This can be applied for search and rescue missions after a natural disaster or extraterrestrial missions such as the exploration of planets. In such hostile environments the autonomy of the robots plays a crucial role in the mission success, as humans usually cannot intervene to aid the robots. For long lasting missions the robots therefore have to manage the available energy and possibly recharge their battery, e.g. at a docking station. This requires an estimation of the battery‘s SOC and the remaining distance the robot is still able to travel. To speed up the mission and to make it more reliable, multiple robots can work together in a team. With multiple robots coordination becomes necessary for recharging and exploration to avoid congestions and redundant exploration. Inspired by economics, coordination by market-based approaches like auctioning promise great flexibility and good performance.

Task

Goal of this thesis is the energy-aware coordination of multiple mobile robots during the exploration of unknown environments. The coordination should work fully autonomous and decentralized for flexibility and scalability. The work will be done using the Robot Operating System (ROS) which provides the basic functionality and allows a focus on the high-level concepts.

The thesis consists of three major steps:

  • Implementation of the coordination algorithm in ROS
  • Verification through simulations and practical experiments on different robot platforms
  • Performance evaluation through simulations in ROS

Interested students should have basic knowledge of the Linux operating system and the C++ programming language.

Further Information

For further details contact Micha Rappaport.

Download PDF: aau_multirobot_thesis

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Thema: DA_Mobile Systems, DA_NES, Diplomarbeit | Kommentare (0) | Autor:

Internship or Master Thesis: Real-Time Wireless Communication Industrie 4.0

Freitag, 31. Oktober 2014 12:16

Your responsibilities:
You will be a part of a research team at Robert Bosch GmbH working on a networking platform for connected manufacturing in future factories (Industrie 4.0). Your main tasks will include:

  • Evaluation of real-time operation systems for embedded wireless devices (IEEE 802.15.4, Bluetooth, WLAN)
  • Setting-up a testbed for a wireless network with real-time services
  • Design and implementation of service and packet scheduler

Your competencies and qualifications:

  • Student of Electrical Engineering, Computer Science, or similar
  • Good programming skills in C/C++
  • Solid Linux user with first programming experience of embedded devices (Arduino, OpenWRT, TinyOS, embedded Linux, etc.)
  • Good knowledge of (wireless) networking protocols (MAC and routing)
  • Well-organized, responsible, and independent working style

Date and location:

  • Start: Dezember 2014
  • Length: 6 months
  • Job location: Renningen

Reference no.: DE00327359. Apply here. Please attach your examination regulations and when indicated work permit and legal alien resident. For more information contact Dr. Marchenko. Tel.: +49-711-811- 24518.

 

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Thema: DA_Mobile Systems, DA_NES, Diplomarbeit, Institut, NES, PR_Mobile Systems, PR_NES, Praktikum | Kommentare (0) | Autor:

Open Master Theses @ Smart Grid Group

Mittwoch, 26. März 2014 10:20

The Smart Grid Group of the NES-Institute is offering two new topics for Master Theses:

Occupancy Detection in Household Power Draw

Master Thesis or Research Project (Informatics, Mathematics, Information Technology):

Smart metering and accordingly, fine-grained energy demand data introduces the possibility to extract useful information from the monitored data such as appliance level demand feedback. One possible and important scope of energy consumption data is to detect the occupancy of household residents, which is fundamental to enable a various number of different smart home and home automation applications. Therefore, the task of this Master Thesis is it to identify state of the art algorithms for occupancy detection, to implement the most important and promising algorithms, to compare them and finally, to test them in a real world environment.

Knowledge: Working in a scientific way, programming language according to personal preference (Matlab, Python, C++)
Contact & Advisor: Dominik Egarter (dominik.egarter@aau.at)

Energy-Efficient LED Light Control for Smart Buildings

Master Thesis (Informatics, Mathematics, Information Technology):

The reduction of energy demand is an actual and important challenge. A big portion of today’s energy demand underlies the energy demand of household lighting systems. Therefore, the aim of this thesis is to identify an energy-efficient lighting system based on LED technology, to create and to implement a test system and to evaluate its performance compared to a todays conventional lighting system.

Knowledge: Circuit design, embedded programming (microcontroller, Raspberry Pi)
Contact & Advisor: Dominik Egarter (dominik.egarter@aau.at)

Do you have questions and are you interested for one of the topics? Do not hesitate to contact me (dominik.egarter@aau.at)!

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Thema: DA_Mobile Systems, DA_NES, Diplomarbeit, Institut, Lakeside Labs, NES | Kommentare (0) | Autor:

Diplomarbeit: Erweiterung des Java-Frameworks FREVO

Montag, 4. Februar 2013 22:12

FREVO ist ein Open-Source Framework welches Ingenieure und Wissenschafter beim Entwurf von selbstorganisierenden Systemen unterstützt. Es ist strikt modular aufgebaut, was die Erweiterung um einzelne Funktionen für geübte Java-Programmierer einfach macht. FREVO basiert auf Vorarbeiten an der TU Wien und wurde in seiner aktuellen Form an der Alpen-Adria-Universität Klagenfurt konzipiert. Die aktuelle Version ist unter http://frevo.sourceforge.net/ verfügbar.

Anwendungen sind der evolutionäre Entwurf von Algorithmen für Multi-Agenten Systeme, wie zum Beispiel das Finden eines Spielalgorithmus für eine Roboterfussballmannschaft:

Eine kurze Einführung zum Tool findet sich im Blogartikel „Just 6 minutes of your time“.

Im Rahmen der Diplomarbeit ist ein Modul zu entwerfen welches Spiking Neural Networks als neue Representation für einen Algorithmus implementiert. Das Ergebnis ist mit Hilfe der vorgegebenen Szenarien mit den anderen bereits vorhandenen Algorithmusrepresentationen zu vergleichen.

Voraussetzungen:

  • Studium der Informatik, Informationstechnik oder Mathematik
  • Gute Java-Kenntnisse und Programmierfahrung
  • Erfahrungen im Umgang von Eclipse, SVN
  • Interesse an Neuronalen Netzwerken

Das Thema kann bei Interesse gerne aufgewertet werden, was eine wissenschaftliche Weiterführung des Themas oder ein gemeinsames Arbeiten an dem Thema gemeinsam mit einem Kollegen/einer Kollegin möglich macht (zwei DiplomandInnen oder Diplomarbeit+Softwarepraktikum).

Bei guter Leistung ist eine Unterstützung der Diplomarbeit durch ein Stipendium möglich.

Kontakt: Prof. Wilfried Elmenreich (wilfried.elmenreichaau.at) oder István Fehérvári (istvan.fehervariaau.at)

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Thema: DA_Mobile Systems, DA_NES, Diplomarbeit, Institut, Lakeside Labs, NES, PR_Mobile Systems, PR_NES, Praktikum | Kommentare (0) | Autor: