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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2022/2023

Autonomous Robotics

The course is not on the list Without time-table
Code Completion Credits Range Language
B3M33ARO Z,ZK 7 3P+2L Czech
Corequisite:
The course cannot be taken simultaneously with:
Intelligent robotics (AE3M33IRO)
Autonomous Robotics (BE3M33ARO1)
Autonomous Robotics (B3M33ARO1)
Lecturer:
Tutor:
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.

IMPORTANT: It is assumed that students of this course have a working knowledge of optimization (Gauss-Newton method, Levenberg Marquardt method, full Newton method), mathematical analysis (gradient, Jacobian, Hessian), linear algebra (least-squares method), probability theory (multivariate gaussian probability), statistics (maximum likelihood and maximum aposteriori estimate), python programming and machine learning algorithms.

Requirements:

It is assumed that students of this course have a working knowledge of optimization (Gauss-Newton method, Levenberg Marquardt method, full Newton method), mathematical analysis (gradient, Jacobian, Hessian, multidimensional Taylor polynomial), linear algebra (least-squares method), probability theory (multivariate gaussian probability), statistics (maximum likelihood and maximum aposteriori estimate), python programming and machine learning algorithms.

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:
Study materials:

1. Siciliano, Bruno and Sciavicco, Lorenzo and Villani, Luigi and Oriolo, Giuseppe: Robotics, Modelling,

Planning and Control, Springer 2009

2. Fahimi, F.: Autonomous Robots: Modeling, Path Planning, and Control, Springer 2009

Note:
Further information:
https://cw.fel.cvut.cz/wiki/courses/aro
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2022-12-09
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet4678006.html