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Table of Contents

Labs

Outline

Labs consist of 8 regular labs intended for practical exercises, 5 optional lessons intended for semestral work consultations, last two labs are intended for bonus demonstrations of the semestral workon the real TurtleBots (in case that epidemilogical condition allows for physical presence in Robolab E-132). Active participation in the regular labs is mandatory. The content of regular labs is the implementation of ROS nodes, which solve well defined sub-problems of the semestral work such as localization, mapping, planning or object detection (see the program for details). Most of the regular labs are accompanied by homework. The homework deadline is before begining of the next labs (approximately 6 days and 22 hours after the labs at which it was assigned). If a homework is uploaded after the deadline, it is rewarded by 0 points. Semestral work deadline is before the beginning of the labs in the thirteenth week. If the solution of the semestral work is uploaded after the deadline, it is rewarded by 0 points. Both homework and semestral work should be uploaded via the upload system. Uploading the own solution of homework and the semestral work (which satisfy minimum requirements -it does what it should do) is mandatory credit requirement. Homework and the semestral work can be solved either using remote access to lab computers (preferred option) or your own laptop (Ubuntu 18.04 is the only supported OS).

Program

labs date tutor labs plan links
1 15.2./18.2. 2021 Rado Intro to ROS I slides
homework 01
bagfile
2 22.2./25.2. 2021 Rado Intro to ROS II slides
example code

homework 02
3 1.3./4.3. 2021 Tomas ICP SLAM I homework 03
slides on tf (recap)
4 8.3./11.3 2021 Tomas ICP SLAM II
5 15.3./18.3. 2021 Franta Planning and exploration homework assignment
6 22.3./25.3. 2021 Vit Path following homework assignment
7 29.3./1.4. 2021 Vojta Deep Learning I Learning on GPU Servers
slides with hw05 assignment
scripts
pretrained weights
training dataset
validation dataset
8 8.4./12.4. 2021 Vojta Deep Learning II slides with hw06 assignment
detector_package
bagfile
9 12.4./15.4. 2021 Semestral work - Frontier-based Exploration
10 19.4./22.4. 2021 Semestral work - Frontier-based Exploration
11 26.4./29.4. 2021 Semestral work - Frontier-based Exploration Milestone I (max 7 points)
12 3.5./6.5. 2021 Semestral work - Frontier-based Exploration
13 10.5./13.5. 2021 Semestral work - Frontier-based Exploration Milestone II (max 15 points)
14 17.5./20.5. 2021 ? Demonstration on real robots (if covid restrictions allow for presence in labs)

Lecturers

http://cmp.felk.cvut.cz/~zimmerk Karel Zimmermann head of the labs.
http://cmp.felk.cvut.cz/~petrito1 Tomas Petricek is the ICP SLAM lab tutor.
http://cmp.felk.cvut.cz/~salanvoj/ Vojtech Salansky is the Deep learning lab tutor.
http://people.ciirc.cvut.cz/skovirad/ Radoslav Škoviera is the ROS tutor.
http://mrs.felk.cvut.cz/people/nekovar František Nekovář is the exploration and path planning lab tutor.
http://mrs.felk.cvut.cz/people/kratky Vít Krátký is the exploration and path following lab tutor.
himmebed@fel.cvut.cz Bedřich Himmel is technical support staff
courses/aro/tutorials/start.txt · Last modified: 2021/04/14 16:52 by zimmerk