Mobile Robots (FSI-0MR)

Academic year 2021/2022
Supervisor: prof. Ing. Radomil Matoušek, Ph.D.  
Supervising institute: ÚAI all courses guaranted by this institute
Teaching language: Czech
Course type: departmental course
Aims of the course unit:
The main objective of the course is to look behind the methods relating to mobile robots during practical realization of sample projects:

* explaining a relation of mobile robotics to the automotive industry

* deploying principles of embedded systems in mobile robotics (using the automotive HW, parking assistance, etc.)

* understanding the principles of programming using the Python programming language and embedded C.
Learning outcomes and competences:
Practical experiments are realized with support of commonly used hardware in mobile robotics and automotive (embedded systems, parking assistance sensors, etc.). The course is primarily designed for students interested in mobile robotics.
Prerequisites:
The course is intended for enthusiastic students with interests in mobile robotics. Some programming skills are welcomed as well as any knowlege about microcontrollers, sensors etc ... however, not required.
Course contents:
The course explains basic techniques for the development of mobile robots. It addresses all necessary steps from initial design through simulation verification to the realization of an autonomous mobile robot. It is also intended for students who want to understand the basics principles of algorithms while solving simple engineering problems. The course consists of creating simple robotic projects in workgroups. Students are encouraged to intuitive approach while solving problems in the field of mobile robotics.
Teaching methods and criteria:
Practical experiments are underway with support of commonly used hardware in mobile robotics and automotive (embedded systems, parking assistance sensors, etc.). The course is designed primarily for students interested in mobile robotics.
Assesment methods and criteria linked to learning outcomes:
Credit requirements: active participation in laboratories and successful implementation of a group project in cooperation with the teacher. The project is defended by presenting in front of other students and ended with a practical demonstration of the implemented project. The evaluation is fully in competence of a tutor according to the valid directives of BUT.
Controlled participation in lessons:
Participation in laboratories is desirable in the case to fulfill the credits requirements. Teaching is divided according to weekly schedules. The form of compensation for missed seminars is fully at the discretion of the teacher.
Type of course unit:
    Laboratory exercise  13 × 3 hrs. compulsory                  
Course curriculum:
    Laboratory exercise 1. Introduction to Mobile Robotics, currently solved problems.
2. Suitable platforms, used engineering tools.
3 Hardware peripherals, ultrasonic and infrared distance sensors.
4. Basic tasks for sensor processing, motion control methods, servo control.
5. Software tools suitable for the development of methods for intelligent mobile robot behavior.
6. Creation of simulation models of the robot and its environmental sensors.
7. Navigation methods of mobile robots.
8. Basic methods of localization, motion planning of the mobile robot.
9. Reaction to obstacles - detection and obstacle avoidance problem.
10. Path planning methods from the group of so-called. "Bug" algorithms.
11. Fundamentals of image processing methods from standard (web)cams.
12. Image processing devices with Android OS support.
13. Practical implementation of given autonomous mobile robots in laboratory conditions.
Literature - fundamental:
1. Thrun, S., Burgard, W., Fox, D. (2005). Probabilistic robotics (Vol. 1). Cambridge: MIT press.
2. LaValle, S. M., "Planning Algorithms", Cambridge University Press (2006)
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
BIT full-time study BITP Information Technology -- Cr 5 Elective 1 2 S
N-MET-P full-time study --- no specialisation -- Cr 5 Compulsory-optional 2 1 S
IT-BC-3 full-time study BIT Information Technology -- Cr 5 Elective 1 2 S
B-STR-P full-time study AIŘ Applied Computer Science and Control -- Cr 5 Elective 1 2 S