450-4096/01 – Industrial Robotics II (PR II)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantordoc. Ing. Bohumil Horák, Ph.D.Subject version guarantordoc. Ing. Bohumil Horák, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year2Semesterwinter
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR02 doc. Ing. Bohumil Horák, Ph.D.
VAL47 Ing. David Vala
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 0+16

Subject aims expressed by acquired skills and competences

The aim of the course is to provide students with extensive information in the field of industrial / mobile robots and its groups management, advanced robotics, mobile and collective robotics, machine learning and artificial intelligence. After studying the module, the student should get an overview of the AI methods used, the principles of machine learning, planning and decision making. They should gain practical experience with their use and acquire other skills needed to create intelligent agents and autonomous control of robot groups.

Teaching methods

Lectures
Individual consultations
Experimental work in labs
Project work
Other activities

Summary

The subject follows the Industrial Robotics I from the bachelor's study. It focuses on advanced robotics, sensors, mobile and collective robotics, machine learning and artificial intelligence. In the practical part of laboratory exercises it deals with the advanced control of industrial and mobile robots with more degrees of freedom with simple and multisensor systems for local and global monitoring of position, speed and acceleration in the area and space and autonomous fulfillment of given tasks.

Compulsory literature:

Reza N. Jazar: Theory of Applied Robotics: Kinematics, Dynamics, and Control. Springer, 2010. Stuart J. Russel and Peter Norvig. Artificial Intelligence, a Modern Approach. 3rd edition, 2010

Recommended literature:

Johnston, J.: The Allure of Machinic Life: Cybernetics, Artificial Life. The MIT Press, USA, 2008 ISBN 978-0-262-10126-4 Blach, T., Parker L.E.: Robot Teams - From Diversity to Polymorphism. AK Peters, Naick Massachusetts 2002

Way of continuous check of knowledge in the course of semester

Continuous Study Control: 2 tests in the 5th and 10th weeks of the semester. Continuous realization of the semestral work. Conditions for granting the credit: Passing the tests, submitting the technical documentation and realizing the semestral project: 12-45 points. Subject IR students evaluation Maximum points achieved 100p Minimum points achieved 51p The final exam is written (1-30p, min.10p) and oral (1-25p, min.10p). The content of the exam is the knowledge studied by the student from lectures, practical exercises, information sources at http://lms.vsb.cz and compulsory literature. The student is evaluated in the semester for attendance at practical exercises, two tests and the realization and presentation of the semestral work (SW) (1-45p, min.12p). The evaluation of the work during the semester is as follows: Test No.1 1-10p (min.5p) Test No.2 1-10p (min.5p) Participation in exercises 1-12p (min.10p) Realization, technical documentation, presentation 0/1-13p (min.5p) Note: The student, based on his / her request, is evaluated in exceptional and justified cases (in case of serious reasons and excused absences in exercises, lectures and excursions) in the form of a credit test.

E-learning

Other requirements

There are no additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Introduction. Summary of the terms of robot technology. 2. Sensors for autonomous robotic systems. Local and global systems. 3. Mobile robot kinematics. 4. Localization problem. Continuous localization methods. 5. Computer vision. Image and its properties. Role of interpretation. 6. Representation of the robot world. Environment models. 7. Planning robot behavior. Autonomous systems. 8. Multi-robot systems. Aspects of the proposal. Cooperation. Coordination. Communication. 9. Localization in robot teams. 10. Navigate the robot to position. Guidance accuracy, space representation in robot memory, robot orientation, local and global systems. 11. Visual systems, orientation in space, representation of space in the robot flag database, link to the knowledge base. 12. Recognition / machine learning. Empirical evaluation of classifiers. Labs: Students will get acquainted with laboratory tasks, their operation, program tools and control programs. Modifying algorithms and verifying them will be the main output of the practical part of the studied subject. Students will use the knowledge gained in previous expanding courses focusing on industrial robotics, microcontrollers and computers, electronics and software development. Laboratory Task 1: Robot with 1 DOF (position control, speed, acceleration, machine learning, pathway optimization, multisensor systems). Laboratory 2: Robot with 2DOF (position control, speed, acceleration, machine learning, pathway optimization, multisensor systems). Laboratory 3: Robot with 2 DOF (position control, speed, acceleration, motion trajectory, machine learning, pathway optimization, multisensor systems). Laboratory Task 4: A group of mobile robot collaborators (position management, speed, acceleration, motion trajectory management, robot role / behavior, machine learning, pathway optimization, multisensor local and global systems, local and global control, strategic decision making, strategic control).

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 45 (45) 12
                Test č.1 Written test 10  5
                Test č.2 Written test 10  5
                Účast ve cvičeních Other task type 12  10
                Realizace, technická dokumentace, prezentace Other task type 13  5
        Examination Examination 55 (55) 20
                Písemná zkouška Written examination 30  10
                Ústní zkouška Oral examination 25  10
Mandatory attendence parzicipation: 80% attendance at the exercises

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0714A150001) Control and Information Systems P Czech Ostrava 2 Optional study plan
2021/2022 (N0714A150001) Control and Information Systems K Czech Ostrava 2 Optional study plan
2020/2021 (N0714A150001) Control and Information Systems P Czech Ostrava 2 Optional study plan
2020/2021 (N0714A150001) Control and Information Systems K Czech Ostrava 2 Optional study plan
2019/2020 (N0714A150001) Control and Information Systems P Czech Ostrava 2 Optional study plan
2019/2020 (N0714A150001) Control and Information Systems K Czech Ostrava 2 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner