Autonomous Robotics

Corequisite:

The course cannot be taken simultaneously with:

Intelligent robotics (AE3M33IRO)
Autonomous Robotics (BE3M33ARO1)
Autonomous Robotics (B3M33ARO1)

Lecturer:

Karel Zimmermann (guarantor), Václav Hlaváč, Vojtěch Vonásek

Tutor:

Karel Zimmermann (guarantor), Ruslan Agishev, Bedřich Himmel, Vít Krátký, František Nekovář, Tomáš Petříček

Supervisor:

Department of Cybernetics

Synopsis:

The Autonomous robotics course will explain the principles needed to develop algorithms for intelligent mobile robots such as algorithms for:

(1) Mapping and localization (SLAM) sensors calibration (lidar or camera).

(2) Planning the path in the existing map or planning the exploration in a partially unknown map and performing the plan in the world.

It is assumed that students of this course have a working knowledge of mathematical analysis, linear algebra, probability theory, statistics, python programming and machine learning algorithms.

Requirements:

Syllabus of lectures:

https://cw.fel.cvut.cz/b212/courses/aro/lectures/start

Syllabus of tutorials:

Study Objective:

Study materials:

Thrun et al, Probabilistic Robotics, MIT Press 2017

Goodfellow et al. Deep Learning, 2016 http://www.deeplearningbook.org

Steven M. LaValle. Planning Algorithms, Cambridge University Press, 2006. (volně na internetu, http://planning.cs.uiuc.edu/)

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/aro

Time-table for winter semester 2021/2022:

Time-table is not available yet

Time-table for summer semester 2021/2022:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKN:E-107 Zimmermann K. Hlaváč V. 11:00–12:30 (lecture parallel1) Karlovo nám. Zengerova posluchárna K1
Tue
Wed
Thu	roomKN:E-132 Nekovář F. Krátký V. 09:15–10:45 (lecture parallel1 parallel nr.101) Karlovo nám. Laboratoř PCroomKN:E-132 Nekovář F. Krátký V. 11:00–12:30 (lecture parallel1 parallel nr.102) Karlovo nám. Laboratoř PCroomKN:E-132 Nekovář F. Krátký V. 12:45–14:15 (lecture parallel1 parallel nr.103) Karlovo nám. Laboratoř PC
Fri

The course is a part of the following study plans:

• Cybernetics and Robotics - Systems and Control (compulsory course in the program)
• Cybernetics and Robotics - Robotics (compulsory course in the program)
• Cybernetics and Robotics - Senzors and Instrumention (compulsory course in the program)
• Cybernetics and Robotics - Aerospace Systems (compulsory course in the program)
• Cybernetics and Robotics - Cybernetics and Robotics (compulsory course in the program)
• Aerospace Engineering (compulsory elective course)
• prg.ai/minor-tech (elective course)