Course: Intelligent Robotics

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Course title Intelligent Robotics
Course code MTI/IRO
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech, English
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Záda Václav, doc. Mgr. Ing. CSc.
Course content
The aim of this subject is to deepen knowledges of students about kinematics and dynamics of robots, to inform about basic methods of robot control and with some methods of artificial intelligence that are applied in robotics, especially the problem of robot motion in a workspace with obstacles.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Laboratory work
  • Class attendance - 40 hours per semester
Learning outcomes
The aim of this subject is to deep knowledge of students about area of cognitive robotics, that is robotics where it is used facilities of artificial intelligence. In this subject there are studied possibilities of keep away of obstacles in working space, trajectory planning and planning of general tasks with using of robot control system.
Students will obtain the ability to design, to simplify and to adjust arbitrary finite automata with efficiency to verify the accuracy of schemes. Further he will be able to design and verify various types of grammars and make syntactic analysis.
Prerequisites
Condition of registration: not any.

Assessment methods and criteria
Combined examination, Oral exam, Written exam

Recommended literature
  • Abidi M. A., Gondzales R. C. Data Fusion in Robotics and Machine Vision. Academic Press, Harcourt Brace Janovich Publ., Boston, 1992..
  • Canudas de Win C., Siciliany B., Bastin G. Theory of Robot Control. Springer-Verlag, London, 1996..
  • Drozdová V., Záda V. Umělá inteligence a expertní systémy. VŠST Liberec, 1991..
  • Glorioso R. M., Osorio F. C. Colon. Engineering Intelligent Systems. Digital Press-Digit. Equip. Corp. USA, 1980..
  • Haralick R. M., Shapiro L. G. Computer and Robot Vision. Volume I, (II). Addison Wesley, Reading, Ma., 1992 (1993)..
  • Horn B. K. Robot Vision. McGraw-Hill Book Company, New York and The MIT Press, 1986..
  • Kárník L., Novák, Marcinčin J. Biorobotická zařízení. Nakl. Márfy Slezsko, 1999..
  • Kotek, Z. a kol. Metody rozpoznávání a jejich aplikace. Academia, Praha 1993..
  • Lukasová, A. Formální logika v umělé inteligenci. Brno, Computer press, 2003..
  • Mařík, V. a kol. Umělá inteligence, 1.-4. díl. Academia, Praha, 1993, 1997, 2000, 2003..
  • Rich, E. - Knight, K. Artificial Intelligence-Second Edition. McGraw Hill, Inc. New York, 1991..
  • Schilling, R. J. Fundamentals of Robotics. Analysis and Control. Prentice Hall, Englewood Cliffts, New Jersey,1990..
  • Schlesinger M. I., Hlaváč V. Deset přednášek z teorie statistického a strukturálního rozpoznávání. Vydavatelství ČVUT, Praha 1999..
  • Winston, P. Artificial Intelligence, Addison-Wesley Publ. Co., Reading, Mass., second edit., 1992..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies Study plan (Version): Automatic Control and Applied Computer Science (2016) Category: Special and interdisciplinary fields 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies Study plan (Version): Information Technology (2013) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies Study plan (Version): Mechatronics (2016) Category: Special and interdisciplinary fields 2 Recommended year of study:2, Recommended semester: Summer