Course details
Mobile Robots
0MR FSI 0MR Acad. year 2020/2021 Summer semester 5 credits
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.
Guarantor
Language of instruction
Completion
Time span
- 39 hrs laboratories
Department
Instructor
Holoubek Tomáš, Ing. (IACS ACS)
Hůlka Tomáš, Ing., Ph.D. (RG-3-02)
Matoušek Radomil, prof. Ing., Ph.D. (UAMT)
Subject specific 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.
Learning objectives
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.
Prerequisite knowledge and skills
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.
Fundamental literature
- Thrun, S., Burgard, W., Fox, D. (2005). Probabilistic robotics (Vol. 1). Cambridge: MIT press.
- LaValle, S. M., "Planning Algorithms", Cambridge University Press (2006)
Syllabus of laboratory exercises
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.
Progress assessment
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.
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.
Controlled instruction
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.
Course inclusion in study plans