Projects subsidized by the Student Grant Competition

Student Grant Competition supports specific university research projects conducted by students in doctoral and master's degree programs closely adherent with their education at the University of Pardubice. Student grant competition is organized by Internal Grant Agency of the University of Pardubice.

2014, 2013, 2012, 2011, 2010

2014

The design of the control system and control mobile robot


Project number: SGFEI_2014010
Team of grantees:
Ing. Libor Havlíček, Ph.D.
  Ing. Daniel Honc, Ph.D.
   

Annotation:

Mobile robots are an ideal platform for testing new technical solutions for a variety of tasks focused on the area of modern control technologies applicable in the fields of human activities such as the integrated interventions Rescue Service . Mobile robots replace human activity, especially in the health and life-threatening conditions. For their work they need to get the appropriate technical solution that gave them a certain degree of artificial intelligence. This would allow the robotic vehicle activity in cases where it would be possible to control a mobile robot master control system, such as a personal computer or a wireless operator control. The Department of Process was designed wheeled robot chassis, which would be an appropriate platform, especially for the development and testing of the control unit, which would allow the separate, autonomous movement . The Department management processes are already started work on two theses and a dissertation whose aim is the design and management of modern control systems, such as mobile robots . The sub-tasks of the student works will be addressed in this project.
 

Algorithms for control and co-operation of robots


Project number: SGFEI_2014004
Team of grantees:
Ing. Martin Mariška
  Ing. Petr Doležel, Ph.D.
   

Annotation:

Recently undeniably growing share of using robotic platforms different in practice. Among the most motivated areas for example in the military, rescue operations in the areas of social care and support, in medicine, in heavy industry and in fact in all the areas that are to humans in some respects dangerous and therefore it is preferable to use a fully automated robotic platform. This project deals mainly with the problem of optimizing the collaboration and cooperation of the various autonomous platforms. Generally, these platforms are limited to local application and are used in dedicated applications. To enable intelligent autonomous systems work with other systems brings the benefits of better utilization of resources and time. Another focus of the project is the use of piecewise linear neural networks in control design of dynamic parts of the robots.

2013

Design and control of mobile robot


Project number: SGFEI02/2013
Team of grantees:
Ing. Petr Doležel, Ph.D.
   

Annotation:

The aim of the project is the design and construction of the mobile robot and then design a control algorithm for cooperation of robots, solving the problem of cooperation pair of robots to overcome obstacles. New and modified control algorithms are published in the papers and proceedings of scientific conferences.

2012

Control of mobile robot using algorithms of Artificial Intelligence


Project number:
SGFEI03/2012
Team of grantees:
Ing. Petr Doležel, Ph.D.
 
Ing. Libor Kupka, Ph.D.
 
Bc. Milan Kacálek
 
Bc. Soňa Šafářová

Annotation:

The grantees aim on generally described algorithms of Artificial Intelligence, which they will suitably modify and apply on control of mobile robot. At the same time they will simulate different conditions examining the degree of autonomy of the robot and the robot’s applicability for practical purposes. Within the project, two workstations equipped with kits will be created. The aim of the project is to use kits to design different kinds of mobile robots suitable for solving typical problems (mapping of an unknown environment, optimum passing through environment with obstacles, inverted pendulum...), then to equip these robots with autonomous control algorithms based on Artificial Intelligence methods and test their suitability. The results of experiments are published in scientific journals and at scientific conferences (conference papers are registered in the database ISI Proceedings of company Thomson Reuters).
 

The use of modern technical means of automation for the control of multi-dimensional system - captive helicopter


Project number:
SGFEI04/2012
Team of grantees:
Ing. Libor Havlíček, Ph.D.
  Bc. Pavel Jiránek
  Bc. Radek Špinka

Annotation:

Automated control systems are currently rapidly developing field. It is possible to achieve given goals of automated process control through the use of the modern technical means. The aim of the grantees within the scope of their theses is to test and use these means during construction of measuring device for monitoring the movement of complex laboratory system. The selected object to test implemented design solutions of individual devices will be aerodynamic laboratory system of captive helicopter. For the successful control of this system it is necessary to obtain current information on the location of the body of the helicopter, which is the size of the angular displacement, tilt and angular speed of rotation of the main and tail helicopter rotor. For these purposes they will design and implement a unit to measure angular displacement, tilt and speed of rotation of the helicopter rotors. To transfer data from the measuring unit they will design and implement construction of universal wireless acquisition card with Bluetooth and Zigbee interface. Proposed technical devices will be implemented as universal and could be therefore used independently, not only for control of selected laboratory task and at tests on control algorithms of complex, multivariable systems, but also for other devices, both in laboratories of the University, and in industry (e.g. it is possible to use them as a part of sensory equipment of inertial navigation system of mobile robotic vehicles, for collection and bidirectional wireless data transfer between any device and master control system, for testing and parameters identification of magnetic and optical rotary sensors, MEMS sensors, e.g. tilt sensors, accelerometers, gyroscopes, etc.).
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2011

Artificial Intelligence Control Toolbox for Matlab


Project number:
SGFEI06/2011
Team of grantees:
prof. Ing. Ivan Taufer, DrSc.
  Ing. Petr Doležel, Ph.D.
  Ing. Michal Dvořák
  Ing. Libor Havlíček, Ph.D.
  Bc. Petr Horák

Annotation:

Artificial Intelligence is a rapidly evolving field extending into many areas of scientific activity and it recently started to emerge even in the field of automatic control. From this perspective grantees approach the means of Artificial Intelligence and within the scope of basic research they published and will further publish several unique control algorithms using mostly artificial neural network and evolutionary algorithms. The aim of the project is to merge these algorithms into simple, comprehensive and user-friendly tool for Matlab interface so that these approaches to regulation are easily applicable in practise. It is expected that the final tool will be available free of charge to the general scientific community and find its use as an alternative tool for automatic regulation of particularly strongly nonlinear dynamical systems (pH regulation in chemical industry, temperature regulation over a wide range of operating point, control of industrial robots, ...).

2010

The implementation of the control system of a small handling robot with direct control of action forces


Project number:
SGFEI04/2010
Team of grantees:
Ing. Michal Dvořák
  doc. Ing. Jan Cvejn, Ph.D.

Annotation:

The aim of the project is to create a lower layer control system of purchased robot that will use direct control of action forces. This concept of control system allows optimize movement of the robot, while respecting its dynamics and real limitations. The result will be used for the experimental verification of properties of advanced control algorithms of the robot.
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