Table of Contents

Lectures

Supporting materials for the lectures of the academic year 2025/2026. The materials are slides, also available in printer-safe version as handouts with 2×2 and 3×3 slides on a single page.

These supportive materials are not intended as a replacement for your own notes from the lectures. They are rather provided to help you to understand the studied problems.

#TWeek Week Monday (Room No. KN:E-107) 11:00-12:30 Lecturer
#1 39. Lecture 01 - Course information, introduction to robotics Jan Faigl 22.09. - lec01
#2 40. Lecture 02 - Robotic paradigms and control architectures Jan Faigl 06.10. - lec02
#3 41. Lecture 03 - Path planning - grid and graph-based path planning methods Antonín Komenda 6.10. - lec03
#4 42. Lecture 04 - Robotic information gathering - Mobile robot exploration Antonín Komenda 13.10. - lec04
#5 43. CRAS Overview Jan Faigl 20.10. - lec05
#6 44. Lecture 06 - Multi-goal path planning Antonín Komenda 27.10. - lec06
#7 45. Lecture 07 - Data collection planning Antonín Komenda 03.11. - lec07
#8 46. Lecture 08 - Curvature-constrained data collection planning Antonín Komenda 10.11. - lec08
#9 47. Struggle for Freedom and Democracy Day - 17.11.
#10 48. Lecture 09 - Randomized sampling-based motion planning methods Antonín Komenda 24.11. - lec09
#11 49. Lecture 10 - Semestral project assignment Jiří Kubík 01.12. - lec10
#12 50. Invited lecture TBS 08.12. - lec11
#13 51. Invited lecture TBS 15.12. - lec12
52. Winter holidays (22.12. - 4.1.)
01. Winter holidays (22.12. - 4.1.)
#14 02. Exam Test (reserve) 05.01.
10.01.2026 @ 23.59 CET - Ungraded Assessment Deadline!

1. Course information, introduction to robotics

— Jan Faigl 2025/09/19 09:59

2. Robotic paradigms and control architectures

— Jan Faigl 2025/09/19 09:59

3. Path planning - Grid and graph-based path planning methods

— Jan Faigl 2025/09/19 09:59

4. Robotic information gathering - Mobile robot exploration

— Jan Faigl 2025/09/19 09:59

Comments on Hungarian algorithm and dummy tasks and resources. Further comments on the relation of the decision-making and particular realization of the whole navigation stack.

— Jan Faigl 2025/09/19 09:59

5. Invited lecture on selected topic

TBS - To be specified

6. Multi-goal path planning

— Jan Faigl 2025/09/19 09:59

7. Data collection planning

— Jan Faigl 2025/09/19 09:59

8. Curvature-constrained data collection planning

— Jan Faigl 2025/09/19 09:59

9. Randomized sampling-based motion planning methods

— Jan Faigl 2025/09/19 09:59

11. CRAS Overview

Expert's talk; slides to be provided at later date.

12. Invited lecture on a selected topic

TBS - To be specified Guest lecture; slides to be provided at later date.

— Jan Faigl 2025/09/19 09:59

courses/uir/lectures/start.txt · Last modified: 2025/09/27 20:33 by komenant