The course requires knowledge at the level of mandatory undergraduate subjects, with particular emphasis on topics such as matrix calculus, probability, and control theory. Familiarity with the MATLAB environment, which is used for exercises, is expected. A general understanding of robotics-related issues, which can be acquired through courses such as BPC-RBM, BPC-PRP, and MPC-RBT, is advantageous. Students should have sufficient language skills to comprehend study materials in English.

Laboratory work requires valid certification as a "osoba poučená," which students must obtain before the start of the course. Information regarding this certification can be found in the Dean's Directive on Seznámení studentů s bezpečnostními předpisy.

Points can be earned in the following categories:

• Laboratory Assessment: Up to 50 points can be earned from laboratory assignments completed during the semester (no minimum required).
• Project: Up to 50 points can be awarded for the final project submitted after the lectures have concluded (a minimum of 20 points is required to successfully complete the course).

Lectures are optional but recommended. Attendance in laboratory sessions is mandatory and necessary to earn the credit. Completing laboratory exercises requires the submission of assignments assigned by the instructor. Absences, if properly excused, can be made up after consulting with the instructor.

The goal of the course is to introduce students to the main challenges and issues in mobile robot navigation and to familiarize them with key algorithms for self-localization, path planning, and robot control, which they will also learn to implement and optimize. Graduates of the course will be able to select an appropriate localization algorithm based on the target application and available sensors, implement it, and fine-tune its parameters. Similarly, they will be capable of working with trajectory planning and motion control algorithms, optimizing and adapting them for specific platforms and tasks. Graduates will thus acquire essential knowledge for designing autonomous mobile robots.

• recommended prerequisite
  Robotics

• Programme MPC-KAM Master's 2 year of study, summer semester, compulsory-optional