prof. Ing. Pavel Ošmera, CSc.

E-mail:   osmera@fme.vutbr.cz 
WWW:   http://www.pavelosmera.cz
Dept.:   Institute of Automation and Computer Science
Dept. of Applied Computer Science
Position:   Professor
Room:   A1/0637
Phone:   +420 54114 2294

938

Education and academic qualification

  • 2009 Prof. subject of speciality: Control Systems, CVUT Prague
  • 2002 Doc. (Assoc.Prof.) subject of speciality: Control Systems, VSB TU Ostrava
  • 1987 Doc. (Assoc.Prof.) subject of speciality: Automatization
  • 1978 CSc. (Ph.D.) VAAZ Brno
  • 1969 Ing. Technical University of Brno
  • 1964 Secondary school

Career overview

  • 1969 - 1971 EZ Praha
  • 1971 - 1983 VAAZ Brno
  • 1983 - 1983 VÚ 060 Brno
  • 1984 - 1991 teacher BUT (Brno University of Technology) in Brno
  • 1991 - 1994 head of department of Computer Science, BUT in Brno
  • 1994 – 2000 director of Institute of Automation and Computer Science, BUT in Brno
  • 2009 - professor, teacher, BUT Brno
  • from 2006 teacher, EPI Kunovice

Scientific activities

Optimization of the work for omnidirectional robots.  Automatic generation of programs for adaptive control, fuzzy, and neural netvorks.

Sum of citations (without self-citations) indexed within SCOPUS

7

Sum of citations (without self-citations) indexed within ISI Web of Knowledge

22

Sum of other citations (without self-citations)

53

Supervised courses:

Publications:

  • ABBADI, A.; MATOUŠEK, R.; OŠMERA, P.; KNISPEL, L.:
    SPATIAL GUIDANCE TO RRT PLANNER USING CELL-DECOMPOSITION ALGORITHM,
    20th International Conference on Soft Computing, MENDEL 2014 (id 22122), pp.273-278, ISBN 978-80-214-4984-8, (2014), VUT
    conference paper
    akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.2014-27.06.2014
  • OŠMERA, P.; OŠMERA, P.:
    VORTEX-FRACTAL-RING STRUCTURES OF FERROMAGNETICMATERIALS,
    MENDEL 2014, pp.159-162, ISBN 978-80-214-4984-8, (2014), Nosová Hana
    conference paper
    akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.2014-27.06.2014
  • OŠMERA, P.; ŠEDA, M.; WEISSER, R.:
    Evolutionary Optimization of Controllers,
    Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach., pp.869-887, ISBN 978-3-642-30503-0, (2012), Springer-Verlag
    book chapter
  • OŠMERA, P.; ŠEDA, M.; MATOUŠEK, R.; WEISSER, R.:
    Two-level Transplant Evolution for Optimization of Controllers,
    2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (id 19801), pp.2110-2115, ISBN 978-1-61284-180-9, (2011), IEEE
    conference paper
    akce: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai , 26.07.2011-28.07.2011
  • ŠEDA, M.; OŠMERA, P.:
    Systems with Queueing and Their Simulation,
    World Academy of Science, Engineering and Technology, Vol.2011, (2011), No.73, pp.713-719, ISSN 1307-6892, WASET
    journal article
  • ŠEDA, M.; MATOUŠEK, R.; OŠMERA, P.; ŠANDERA, Č.; WEISSER, R.:
    Combined Heuristic Approach to Resource-Constrained Project Scheduling Problem,
    Lecture notes in Electrical Engineering, Vol.2010, (2010), No.68, pp.47-57, ISSN 1876-1100, Springer
    journal article
    akce: MENDEL 2009 - 15th International Conference on Soft Computing, Brno University of Technology, 24.06.2009-26.06.2009
  • WEISSER, R.; OŠMERA, P.; ROUPEC, J.; MATOUŠEK, R.:
    Two-Level Transplant Evolution for Optimization of General Controllers,
    New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems, pp.50-68, ISBN 978-953-307-213-5, (2010), Sciyo
    book chapter
  • OŠMERA, P.:
    Evolvable Controllers with Hierarchical Structure,
    CEC 2004, pp.758-765, ISBN 0-7803-8515-2, (2004), IEEE Service Center
    conference paper
    akce: CEC 2004, Portland, 19.06.2004-23.06.2004

List of publications at Portal BUT

Abstracts of most important papers:

  • ABBADI, A.; MATOUŠEK, R.; OŠMERA, P.; KNISPEL, L.:
    SPATIAL GUIDANCE TO RRT PLANNER USING CELL-DECOMPOSITION ALGORITHM,
    20th International Conference on Soft Computing, MENDEL 2014 (id 22122), pp.273-278, ISBN 978-80-214-4984-8, (2014), VUT
    conference paper
    akce: 20th International Conference on Soft Computing, MENDEL 2014, Brno University of Technology, 25.06.2014-27.06.2014

    Motion planning is problematic issue in robotics domain. In this paper we compare very well-known planners, the probabilistic path planning method Rapidly Exploring Random Tree (RRT) and spatial planner as exact Cells-decomposition (CD). We try to make some tradeoff between the efficiency of planning using CD in 2D space and dynamic of planning using RRT by giving the path-point of CD to RRTs planner as spatial guidance to overcome the drawback of this two planners.
  • OŠMERA, P.; ŠEDA, M.; WEISSER, R.:
    Evolutionary Optimization of Controllers,
    Zelinka, I., Snášel, V., Abraham, A. (eds.): Handbook of Optimization. From Classical to Modern Approach., pp.869-887, ISBN 978-3-642-30503-0, (2012), Springer-Verlag
    book chapter

    The aim of this paper is to describe a new optimization method that can create control equations of general regulators. For this type of optimization a new method was created and we call it Two-Level Transplant Evolution (TLTE). This method allowed us to apply advanced methods of optimization, for example direct tree reducing of tree structure of control equation. The reduction method was named Arithmetic Tree Reducing (ART). For optimization of control equations of general controllers is suitable combine two evolutionary algorithms. Main goal in the first level of TLTE is the optimization of structure of general controllers. In the second level of TLTE the concrete parameters are optimized and the unknown abstract parameters in structure of equations are set. The method TLTE was created by combination of Transplant Evolution method (TE) and Differential Evolution method (DE). The Transplant Evolution (TE) optimizes structure of solution with unknown abstract parameters and the DE optimizes the parameters in this structure. The parameters are real numbers. The real numbers are not easy find directly in TE without DE. For evaluation of quality of found control equation are described new methods, which allow evaluate their quality. It can be used in the case when the simulation of control process cannot be finished. In results are shown some practical application. In all results we received the control equation that reached better quality of control process, than classical PID controllers and Takahashi`s modification of PID controller.
  • OŠMERA, P.; ŠEDA, M.; MATOUŠEK, R.; WEISSER, R.:
    Two-level Transplant Evolution for Optimization of Controllers,
    2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (id 19801), pp.2110-2115, ISBN 978-1-61284-180-9, (2011), IEEE
    conference paper
    akce: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai , 26.07.2011-28.07.2011

    This paper describes the application of Two-Level Transplant Evolution (TE) that can evolve control programs using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. TE combines Grammatical Evolution (on the genotype level) with Genetic Programming (tree structures on the phenotype level). To increase the efficiency of Transplant Evolution (TE) the parallel Differential Evolution was added.
  • ŠEDA, M.; OŠMERA, P.:
    Systems with Queueing and Their Simulation,
    World Academy of Science, Engineering and Technology, Vol.2011, (2011), No.73, pp.713-719, ISSN 1307-6892, WASET
    journal article

    In the queueing theory, it is assumed that customer arrivals correspond to a Poisson process and service time has the exponential distribution. Using these assumptions, the behaviour of the queueing system can be described by means of Markov chains and it is possible to derive the characteristics of the system. In the paper, these theoretical approaches are presented on several types of systems and it is also shown how to compute the characteristics in a situation when these assumptions are not satisfied.
  • WEISSER, R.; OŠMERA, P.; ROUPEC, J.; MATOUŠEK, R.:
    Two-Level Transplant Evolution for Optimization of General Controllers,
    New Trends in Technologies: Control, Management, Computational Intelligence and Network Systems, pp.50-68, ISBN 978-953-307-213-5, (2010), Sciyo
    book chapter

    The aim of this work is to describe a new optimization method that can create control equations of general controllers. For this type of optimization a new method was created and we call it Two-Level Transplant Evolution (TLTE).