Subjects

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Industry 4.0 - M445018

Title:	Průmysl 4.0
Guaranteed by:	Department of Computing and Control Engineering (445)
Faculty:	Faculty of Chemical Engineering
Actual:	from 2019 to 2020
Semester:	winter
Points:	winter s.:3
E-Credits:	winter s.:3
Examination process:	winter s.:
Hours per week, examination:	winter s.:1/2, MC [HT]
Capacity:	unlimited / unlimited (unknown)
Min. number of students:	unlimited
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Level:
Note:	course can be enrolled in outside the study plan enabled for web enrollment

Guarantor:	Mareš Jan prof. Ing. Ph.D. Vyšata Oldřich MUDr. Ph.D.
Interchangeability :	N445084

Examination dates Schedule

Annotation -

Robotic systems is a course aimed at modern approaches to robotics in technologies and biomedical praxis. Individual and group projects are included in the course where students can apply knowledge in the solution of engineering problems.

Last update: Pátková Vlasta (20.04.2018)

Aim of the course -

Students will be able to:

control and navigate mobile robot and their groups

control robotic manipulators with 5 and more degrees of freedom

Last update: Pátková Vlasta (20.04.2018)

Course completion requirements - Czech

Vypracování deseti laboratorních úloh: 0 - 25 bodů

Zápočtový test: 0-75 bodů

Celkové bodové hodnocení: 100-90 A, 89-80 B, 79-70 C, 69-60 D, 59-50 E, méně než 50 F.

Last update: Mareš Jan (26.04.2018)

Literature -

R: An-Chyau,H.,Ming-Chih,Ch.,Adaptive Control of Robot Manipulators, World Scientific, New Jersey,2010,109814307416

Last update: Pátková Vlasta (20.04.2018)

Syllabus -

1) Introduction to the course, groups, functions, sensors

2) Robotic manipulators, schemes, degrees of freedom.

3) Kinematics of robots, translation, rotation.

4) Transformation matrix.

5) Mobile robots - autonomous, controlled.

6) Robot navigation, feedforward and feedback control.

7) Paradigms of robot control.

8) Biologically inspired robot control.

9) Reactive paradigm.

10) Implementation.

11) Advanced sensors.

12) Hybrid architecture.

13) Multiagent robotic systems

14) Lokalization, maps

Last update: Pátková Vlasta (20.04.2018)

Learning resources -

www.mindstorms.lego.com/

www.ni.com

Last update: Pátková Vlasta (20.04.2018)

Registration requirements -

Mathematics I

Last update: Pátková Vlasta (20.04.2018)

Teaching methods
	Activity	Credits	Hours
	Účast na přednáškách	0.5	14
	Práce na individuálním projektu	0.5	14
	Příprava na zkoušku a její absolvování	1	28
	Účast na seminářích	1	28
		3 / 3	84 / 84