Robolution

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Summer School of Robotics

28 June to 12 July 2008


Organized in cooperation with the BEST - see the official website of the BEST summer course

NEW!:
List of projects


NEW!: Excursion, Thursday, 3rd. of July: We meet at the Namestie sv. Frantiska (see map). We will visit the MicroStep-MIS and ME-inspection companies. We will meet at 10:00 at the "Namestie Sv. Frantiska" and the excursion is planned to 12:00, and then the program for thursday is finished.


NEW!: Latest version of the TIMETABLE is available here.

NEW!: The list of participants is available here.


The activities labeled LogoBESTsmall.png are recommended for the participants of the BEST summer course. All the activities except the laboratory workshops are open to the public. Robotika.SK organizes at the same time Robotic holidays. You can visit any lectures and tutorials listed here PLUS You can participate on the projects which will be solved during these days.


RobotBEST.png

Program

Following topics/presentations were presented:




  • LogoBESTsmall.png Lecture Kinematics of mobile robots.
    assoc. prof. Ing. Peter Hubinský, PhD. (FEI STU, SK)
    Basic types of the mobile robot kinematics - differential drive, tricycle, Ackermann steering, omnidirectional wheels, synchronous drives - basic structures, coordinate transformations, technical solutions.


  • LogoBESTsmall.png Lecture Data fusion, context awareness and fault detection in autonomous robotics.
    Assoc. Prof. Anton Vitko, PhD. (FEI STU, SK)
    A brief survey of the main approaches to the data fusion for purposes of both the reactive navigation in an unknown terrain and fault detection. Main points:
    • What is data fusion and why the data should be fused?
    • What is a context?
    • Fusion hierarchy
    • Means of data fusion
    • Using fused information for detection, clustering and classification of an abnormal motion of the robot's leg


  • LogoBESTsmall.png Lecture Selected topics from Evolutionary Algorithms I
    Mgr. Pavel Petrovič, PhD. (FMFI UK, SK)
    Evolutionary Algorithms are stochastic search and optimisation algorithms. Various flavours of the algorithms are known. We will shortly review the basic methods and discuss the more advanced approaches including probabilistic representations of populations, multi-objective evolutionary optimisation, representation issues, and evolution of recurrent neural networks.


  • LogoBESTsmall.png Workshop PIC processor C programming.
    dipl.-Ing. Adrian Dabrowski (HTL Spengergasse, Austria)
    A sensor workshop for mobile robots - presentation of a ultrasonic sensor, a CMUCam, GPS, IR, and some others.


  • LogoBESTsmall.png Tutorial "How to follow a ping-pong ball"
    RNDr. Andrej Lúčny, PhD. (MicroStep-MIS, SK)
    We introduce step-by-step necessary methods of image processing and behavior control for development of a simple robot which follow a ping-pong ball. In this way we demonstrate several important principles on a simple example.




  • LogoBESTsmall.png Workshop Low-level programming of NXT robots.
    Mgr. Pavel Petrovič, PhD. (FMFI UK, SK)
    The popular robotics construction sets - LEGO Mindstorms NXT can be programmed using the standard programming environment RoboLab, and many other 3rd party programming environments, such as NBC, NXC, RobotC, Lejos, and other. In this workshop, we will learn how to program the robots directly in C, i.e. how to write a firmware for the NXT brick.


  • LogoBESTsmall.png Lecture Selected topics from Evolutionary Algorithms II
    Mgr. Pavel Petrovič, PhD. (FMFI UK, SK)
    Evolutionary Algorithms are stochastic search and optimisation algorithms. Various flavours of the algorithms are known. We will shortly review the basic methods and discuss the more advanced approaches including probabilistic representations of populations, multi-objective evolutionary optimisation, representation issues, and evolution of recurrent neural networks.


  • LogoBESTsmall.png Lecture "Subsumption: Brooks' approach to robotics"
    RNDr. Andrej Lúčny, PhD. (MicroStep-MIS, SK)
    We introduce subsumption as simplified method how to mimics biological evolution for purposes of robot construction. Features of biological creatures as their situatedness in particular environment and thinkering (bricolage) during their evolution are used as important insiration.


  • LogoBESTsmall.png Lecture Bayesian Robot Programming and Probabilistic Robotics.
    Mgr. Pavel Petrovič, PhD. (FMFI UK, SK)
    The information about the robot environment acquired from robot sensors is uncertain, ambiguous and noisy. To cope with this kind of information, probabilistic modeling of the world is appropriate. The parameters of the probabilistic distributions can be obtained by learning from experimental data. This tutorial will introduce basic concepts used in probabilistic robotics and demonstrate them on practical examples.


Registration

Please, use this form.

Information

  • When?

28 June to 12 July 2008

  • Where?

In the Mobile Robotics Research Lab located at the Faculty of Electrical Engineering and Information Technology, Bratislava, Slovakia. Exact address: Ilkovičova 3, 812 19 Bratislava, Slovakia.

  • Who?

Anybody interested. No age limitations.

  • How many people?

Awaiting cca 10 - 15 persons.

  • How much?

Thanks to sponsors is it free of charge, but You have to pay for accomodation and food, respectively.

  • Where to sleep and what to eat?

We can help to arrange beds and food in hostel but you have to pay for it.

  • Where to ask questions?

Use an e-mail to organisers.

Archive

Contact

richard.balogh [at] robotika.sk


Sponsors and partners

Logo robotika.sk.gif Logo feistu.png Logo BEST.png Logo innoc.gif
Robotika.SK FEI STU BEST local group
Bratislava
InnoC.at


Logo RLX.gif Logo apvv.png Logo EUcentrobot.png Logo fhhn.gif
Sponsored by
RLX Components
Project supported by the Slovak
Research and Development Agency
Project supported from the
Interreg IV project Centrobot
FHHN


Logo SK-AT.jpg