The student should acquire basic knowledge related to new methods and technics in industrial robots modelling, programming, sensors and intelligence.

After completed this course the students should be able to: (1) Perceive the importance of industrial robot intelligence. (2) Apply actual methods, techniques, software and sensors to enhance industrial robot intelligence for given technological tasks. (3) Integrate different sensors (sensors fusion) to enhance industrial robot intelligence for given technological tasks.

Modelling of serial, parallel and hybrid industrial robots. Redundant robots. Macro/micro and micro/nano robot structures. Advance basic robots' subsystems. Sensors fusion, vision systems and intelligence. Intelligent path planning. Programming and simulation. Complex industrial tasks and new fields of industrial robot applications.

Laboratory exercises are related to the theme of the PhD thesis and include: sensors fusion, vision systems and intelligent path planning. Practical research in the field of industrial robot intelligence related to the theme of the PhD thesis. Writing seminar work in the field of industrial robot intelligence related to the theme of the PhD thesis. Publication of research paper.

Undergraduate or Master course in the field of Industrial robotics.

Laboratory for Industrial robotics and artificial intelligence (Robotics & AI) with 5 industrial robots, software for simulation and programming Workspace5. Center for parallel kinematic machines (CeMPK) with two parallel kinematic machine tools and DELTA robot.

Total assigned hours: 65

New material: 30
Elaboration and examples (recapitulation): 20

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 70
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 35

Sciavicco L., Siciliano B., Мodelling and control of robot manipulators, Springer London, ISBN 978-1-85233-221-1, 2000.; Onwubolu G.C., Mechatronics, principles and applications, Elsevier, ISBN 9780080492902, 2005.; Tsai L.W., Robot analysis: The Mechanics of Serial and Parallel Manipulators, John Wiley & Sons, ISBN 978-0-471-32593-2, 1999.; Niku S.B., Introduction to Robotics, Analysis, Systems, Applications, Prentice Hall, ISBN 9780130613097, 2001.; Fu K.S., Gonzales R.C., Lee C.S.G., Robotics: Control, Sensing, Vision, and Intelligence, McGraw-Hill, New York, ISBN 9780070226258, 1987.