SubjectsSubjects(version: 855)
Course, academic year 2019/2020
  
Robotic systems - AP445009
Title: Robotic systems
Guaranteed by: Department of Computing and Control Engineering (445)
Actual: from 2019
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0 other [hours/week]
Capacity: winter:unlimited / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
Language: English
Teaching methods: full-time
Level:  
For type: doctoral
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 doc. Ing. Ph.D.
Vyšata Oldřich MUDr. Ph.D.
Interchangeability : D445021, P445009
Annotation -
Last update: Pátková Vlasta (19.11.2018)
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.
Aim of the course -
Last update: Pátková Vlasta (19.11.2018)

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
Literature -
Last update: Pátková Vlasta (19.11.2018)

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

Learning resources -
Last update: Pátková Vlasta (19.11.2018)

www.mindstorms.lego.com/

www.ni.com

Teaching methods -
Last update: Pátková Vlasta (19.11.2018)

lectures, project and solving of case stidies

Syllabus -
Last update: Pátková Vlasta (19.11.2018)

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

Entry requirements -
Last update: Pátková Vlasta (19.11.2018)

none

Registration requirements -
Last update: Pátková Vlasta (19.11.2018)

none

Course completion requirements -
Last update: Pátková Vlasta (19.11.2018)

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.

 
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