Table of Contents

Lectures

Supporting materials for the lectures of the academic year 2024/2025. 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 23.09. - lec01
#2 40. Lecture 02 - Robotic paradigms and control architectures Miloš Prágr 30.09. - lec02
#3 41. Lecture 03 - Path planning - grid and graph-based path planning methods Jan Faigl 7.10. - lec03
#4 42. Lecture 04 - Robotic information gathering - Mobile robot exploration TBA 14.10. - lec04
#5 43. Lecture 05 - Learning as part of mobile robot exploration Miloš Prágr 21.10. - lec05
#6 44. Independent Czechoslovak State Day 28.10.
#7 45. Lecture 06 - Multi-goal path planning Jan Faigl 04.11. - lec06
#8 46. Lecture 07 - Data collection planning Miloš Prágr 11.11. - lec07
#9 47. Lecture 08 - Curvature-constrained data collection planning Miloš Prágr 18.11. - lec08
#10 48. Lecture 09 - Randomized sampling-based motion planning methods Jan Faigl 25.11. - lec09
#11 49. Lecture 10 - Semestral project assignment Miloš Prágr 02.12. - lec10
#12 50. Lecture 11 - Reinforcement Learning TBA 09.12. - lec11
#13 51. Lecture 12 - CRAS Overview Jan Faigl 16.12. - lec12
52. Winter holidays (23.12. - 5.1.)
01. Winter holidays (23.12. - 5.1.)
#14 02. Exam Test (reserve) 06.01.
11.1.2025 @ 23.59 CET - Ungraded Assessment Deadline!

1-s2.0-s0004370212000240-main.pdf

1. Course information, introduction to robotics

— Jan Faigl 2024/09/20 23:59

2. Robotic paradigms and control architectures

— Jan Faigl 2023/09/21 17:55

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

— Jan Faigl 2023/09/21 17:55

4. Robotic information gathering - Mobile robot exploration

— Jan Faigl 2023/10/16 10:52

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 2023/09/21 17:55

5. Learning as part of mobile robot exploration

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

6. Multi-goal path planning

— Jan Faigl 2023/10/29 21:57

7. Data collection planning

— Jan Faigl 2024/01/16 17:20

8. Curvature-constrained data collection planning

— Jan Faigl 2024/01/12 22:32

9. Randomized sampling-based motion planning methods

— Jan Faigl 2023/11/26 20:42

11. Reinforcement Learning

Guest lecture; slides to be provided at later date.

12. CRAS Overview

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

courses/uir/lectures/start.txt · Last modified: 2024/09/21 00:00 by faiglj