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Robotic systems - AP445009

Title:	Robotic systems
Guaranteed by:	Department of Mathematics, Informatics and Cybernetics (446)
Faculty:	Faculty of Chemical Engineering
Actual:	from 2021
Semester:	both
Points:	0
E-Credits:	0
Examination process:
Hours per week, examination:	3/0, other [HT]
Capacity:	winter:unknown / unknown (unknown) summer:unknown / unknown (unknown)
Min. number of students:	unlimited
State of the course:	taught
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Level:
Note:	course is intended for doctoral students only can be fulfilled in the future you can enroll for the course in winter and in summer semester

Guarantor:	Mareš Jan prof. Ing. Ph.D. Vyšata Oldřich MUDr. Ph.D.
Interchangeability :	P445009

Examination dates

Annotation -

The course deals with selected modern parts of robotic systems and computer vision. Students will solve several case studies oriented to robots in diagnosis, robots in medicine or voice control.

Last update: Pátková Vlasta (19.11.2018)

Aim of the course -

Students will be able to:

control and navigate mobile robots and groups of robots

control of manipulators with 5 and more DOF

use advance control techniques and artificial intelligence for robot control

Last update: Pátková Vlasta (19.11.2018)

Course completion requirements -

3 individual projects: 0 - 25 bodů

Oral exam: 0-75 bodů

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

Last update: Pátková Vlasta (19.11.2018)

Literature -

Z: Huang, A., Ch., Chien, M., Ch.: ADAPTIVE CONTROL FOR ROBOT MANIPULATORS. World Scientific, 2010. ISBN: 978-981-4307-41-3

D: Mike Predko: Programming Robot Controllers. McGraw-Hill. 2002. ISBN: 978-0071408516

D: Rafael C. Gonzalez and Steven L. Eddins: Digital Image Processing Using MATLAB, 2nd ed. Dorling Kindersley Pvt Ltd. 2006. ISBN: 978-8177588989

Last update: Pátková Vlasta (19.11.2018)

Teaching methods -

lectures, project and solving of case stidies

Last update: Pátková Vlasta (19.11.2018)

Syllabus -

1) Robotic systems, functions, sensors, actuators, calibration

2) Robotic manipulators, optimal movements

3) Mobile robots - autonomous, controlled

4) Biologically inspired robot control

5) Advanced computer vision

6) Multiagent robotic systems

7) Case study: Computer vision and navigation

Last update: Pátková Vlasta (19.11.2018)

Learning resources -

www.mindstorms.lego.com/

www.ni.com

Last update: Pátková Vlasta (19.11.2018)

Entry requirements -

none

Last update: Pátková Vlasta (19.11.2018)

Registration requirements -

none

Last update: Pátková Vlasta (19.11.2018)