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Checklist New Employee for Admins

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When a new employee starts at the Chair of CPS, a number of things needs to be done by the Chair, the secretary and the technician. 

Just before the new employee starts

  • Add People Post.
  • Prepare a Workstation.
  • Prepare an office / desk.
  • Get a Transponder from MRs. Winklmayr.

Items to be done at the first day at work

  • Send Organisational Instructions out.
  • Add a new CPS User in our WordPress site.

  • Add employee’s contact details to our spread sheet.

  • Send the new employee google calendar invitations.
  • Send out Our Instructions on First Scientific Steps.

Items to be done after the Work Contract was signed

  • Request for a p-Number in MUOnline, needs to be done by the Chair.
    Given a P-Number, Submit a New User Request via Lotus Notes to the ZID

  • Add the new work Email to our spread sheet.



CPS Google Calendars

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Our Calendars:



Welcome to Leoben for Researcher

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Welcome Guide

Have a look at our detailed welcome guide.

Please prepare all necessary documents (e.g., Bachelor & Master certificates) to enrole as student at the MU Leoben.

Note that as PhD you need to attend some courses, seminars, etc. which requires this official registration as student.

All information below is relevant for new PhD students and post docs.

For guest researcher, please visit the site of our international department.

Organisational Steps before you arrive

For EU & Swiss Citizens: 

  • Get familiar with our Webpage and with the team.
  • Get in contact with our secretary.

For Non-EU or Swiss Citizens: 

  • Get a Visa D for gainful employment (germ. VISUM D Erwerb) at an Austrian embassy. 
    Note that without that visa, it may take up to two months until you can sign your work contract, get an health insurance and, most importantly, get your first salary. 
  • With the Visa D for gainful employment, cou can immediately start to work and will have up to six month to get the Austrian residence permit at the local headquarters district (see below).
  • Also all points like for EU & Swiss citizens.   

Organisational Steps after your Arrival

There are a few very important things you need to do after you arrived. Please update the information if it is outdated. 

1. Get a Certificate of Registration from your Landlord


Once you signed the contract for your room or flat in Austria, you get a Certificate of Registration (germ. Meldebestätigung). An example is shown in the Figure on the left. If you did not get such a certificate, contact your landlord. 

 

2. Get a Registration Form from the City Hall

You need to go to the city hall (germ. Stadtgemeinde Leoben) to register your new main residence.  You will receive a Registration form (germ. Meldebestätigung). An example is shown in the left panel.

3. VISA or Residence Permit for Researcher

  • As European, you need to contact the district headquarters within 4 months after your arrival. Her is some description.
  • As Non-European researcher you can apply for a Residence Permit for Researcher. Sadly, the government’s information page is only in german. Below we outline the necessary steps for Non-Europeans. 

4. Get in contact via Email with the District Headquarters

To get a residence permit, you need to get in contact with the district headquarters Leoben (DH). Send them an Email or call them. The district headquarters will need from you: 

  1. A copy of your passport.
  2. Your Work contract.
  3. Your Registration form.

Once you send all your files to the DH, they will send you an appointment date via email. 

5. Documents required from Non-EU applicants

Find all important information on the page of the government. 

In order to obtain a residence permit, you need to contact the Bezirkshauptmannschaft Leoben. Send them an email or call them. The best way is to call them and inform them about your visa status. They will send you and appointment and you will need to submit the following documents:

  1. Completed and signed application form
  2. Copy of valid travel document
  3. Birth certificate (with translation)
  4. Proof of criminal record from the place of your residence (with translation). Note in some cases also records from your home country are needed!
  5. Current passport photo in the size of 3,5 x 4,5 cm (not older than 6 months)
  6. City Registration certificate
  7. Proof of legal entitlement to accommodation in Austria: e.g. rental contract, housing rights agreement.
  8. Proof of health insurance valid in Austria (probably only possible after starting work)
  9. Original admission agreement with the University of Leoben
  10. Original employment contract with the University of Leoben

6. Send all your Files to Mrs. Hotter

Mrs. Hotter of the Montanuniversität Leoben is responsible for new employees. Send her your files asap. 



Deep Reinforcement Learning for Navigation in Warehouses

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Deep Reinforcement Learning (DRL) has demonstrated great success in learning single or multiple tasks from scratch. Various DRL algorithms have been proposed and were applied in a broad class of tasks including chess and video games, robot navigation or robot manipulation. 

In this work, we investigate the potential of DRL in a mapless navigation task within a warehouse. The challenges of the task are the partial observability of the space and the need of effective exploration strategies for fast learning of navigation strategies. 

We trained a mobile robot (the agent) from scratch and compared how different sensor observations could influence the navigation performance. The evaluated sensors are a 360-degree Lidar sensor, only depth image and only RGB image. For Lidar and RGB inputs, we evaluated partial and full observability of the state space. We successfully trained the agent to navigate to a goal with a reward setting that is also applicable to the real world.

Currently, we are extending the work to multi-modal sensor inputs with both Lidar and RGB inputs (RGB image only frontal view) and incorporated self-curriculum learning on a more challenging navigation task in a warehouse and obtained promising initial outcomes.

https://cps.unileoben.ac.at/wp/RGB_only_front_snail_140k.mp4https://cps.unileoben.ac.at/wp/RGB_only_front_snail_85k.mp4

The video shows learned navigation strategies using a single RGB-D camera mounted at the front of the robot.  The results were obtained after 85.000 interactions (single action excution, e.g. wheel velocity commands). 

This video shows the learnded strategy after 140.000 interactions with the environment. 



Intrinsic Motivation Learning in Stochastic Neural Networks

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Video

Link to the file

You may use this video for research and teaching purposes. Please cite the Chair of Cyber-Physical-Systems or the corresponding research paper. 

Publications

2019

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

In: Neural Networks - Elsevier, vol. 109, pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

Links | BibTeX

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

2017

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Efficient Online Adaptation with Stochastic Recurrent Neural Networks

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings Article

In: Proceedings of the Conference on Robot Learning (CoRL), 2017.

Links | BibTeX

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals



Teaching the Humanoid Robot ICub Manipulation Skills

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Video

Link to the file

You may use this video for research and teaching purposes. Please cite the Chair of Cyber-Physical-Systems or the corresponding research paper. 



150.570 Seminar Bachelor Work – Industrial Data Science (5SH SE, WS & SS)

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You are interested in working with modern robots or want to understand how such machines ‘learn’?

If so, this bachelor thesis will enable you to dig into the fascinating world of robot learning. You will implement and apply modern machine learning algorithms in Python, Matlab or C++/ROS. 

Your learning or control algorithm will be evaluated in cyber-physical-systems. Find out which theses are currently supervised and offered. 

 

Links and Resources

Location & Time

Learning objectives / qualifications

  • Students will work on controlling, modeling and simulating Cyber-Physical-Systems and autonomously learning systems.
  • Students understand and can apply advanced model learning and reinforcement  techniques to real world problems.
  • Students learn how to write scientific reports.

Literature

  • The Probabilistic Machine Learning book by Univ.-Prof. Dr. Elmar Rueckert. 
  • Bishop 2006. Pattern Recognition and Machine Learning, Springer. 
  • Barber 2007. Bayesian Reasoning and Machine Learning, Cambridge University Press. 
  • Murray, Li and Sastry 1994. A mathematical introduction to robotic manipulation, CRC Press. 
  • B. Siciliano, L. Sciavicco 2009. Robotics: Modelling,Planning and Control, Springer.
  • Kevin M. Lynch and Frank C. Park 2017. MODERN ROBOTICS, MECHANICS, PLANNING, AND CONTROL, Cambridge University Press.


150.510 Industrial Data Science Projekt (8SH SE, SS)

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You are interested in working with modern robots or want to understand how such machines ‘learn’?

If so, this project will enable you to dig into the fascinating world of robot learning.

The course provides a structured and well motivated overview over modern techniques and tools which enable the students to define learning problems in Cyber-Physical-Systems. 

Links and Resources

Location & Time

Learning objectives / qualifications

  • Students get a practical experience in working, modeling and simulating Cyber-Physical-Systems.
  • Students understand and can apply advanced model learning and reinforcement  techniques to real world problems.
  • Students learn how to write scientific reports.

Literature

  • The Probabilistic Machine Learning book by Univ.-Prof. Dr. Elmar Rueckert. 
  • Bishop 2006. Pattern Recognition and Machine Learning, Springer. 
  • Barber 2007. Bayesian Reasoning and Machine Learning, Cambridge University Press. 
  • Murray, Li and Sastry 1994. A mathematical introduction to robotic manipulation, CRC Press. 
  • B. Siciliano, L. Sciavicco 2009. Robotics: Modelling,Planning and Control, Springer.
  • Kevin M. Lynch and Frank C. Park 2017. MODERN ROBOTICS, MECHANICS, PLANNING, AND CONTROL, Cambridge University Press.


Responsibilities & Contacts

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This post provides information on whom to contact depending on your purpose.

Note that this post is continuously updated to keep the contact persons up-to-date. 

If you discover out-dated information, please contact our secretary. 

 

Bettina Sokol

  • Bewerbungen Wissenschaftliches Personal. 

Bettina.Hotter@unileoben.ac.at

Für Absagen: xyz@unileoben.ac.at

Karin Taxacher

  • Bewerbungen Nicht-Wissenschaftliches Personal. 

karina.taxacher@unileoben.ac.at

Sabine Fluch

  • CISCO telephone stations for new employees. 

sabine.fluch@unileoben.ac.at

 

Kathrin Moitzi

  • Transponder. 

kathrin.moitzi@unileoben.ac.at

Julia Schmidbauer

  • Knowledge- and Technology Transfer & Business Partnerships

julia.schmidbauer@unileoben.ac.at

Moodle Courses

SAP GUI MAC



Adding a New Thesis

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As Ph.D. student and as senior research you will supervise undergraduate and graduate students. 

Often students contact the chair and ask for thesis topics or even approach us with their own ideas. That’s great and the chair usually forwards these requests to Ph.Ds. and senior research to do research in that domain. 

Once you agreed on a topic with a student, you will need to define a roadmap or thesis concept with the student. 

The thesis topic will be published on our web page. Below are the instructions on how to do that. 

Clone an Existing Thesis Post

The best strategy is to clone an existing post. Is this is new to you, follow our instructions in the linked post. 

Select the Correct Category

Three categories are used for student theses:

  1. teaching_currentthesestopics
  2. teaching_openthesestopics
  3. teaching_pastthesestopics

For current ongoing theses use the first category, for open topics use the second, and for completed theses use the last category. 

Mandatory Information of your Thesis Post

  • The supervisors. Usually that are the chair and you. 
  • The start date. 
  • The end date for completed theses. 
  • An abstract.
  • A Roadmap with mandatory and optional tasks.
  • A list of related work. 

Add the Student’s Contact Details

Add the name and email of the student to our CPS list for informing the student about upcoming talks and important internal issues.