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Mobile Robotics - NAIL108

Title:	Mobilní robotika
Guaranteed by:	Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2015
Semester:	summer
E-Credits:	3
Hours per week, examination:	summer s.:1/1, MC [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech, English
Teaching methods:	full-time
Teaching methods:	full-time
Additional information:	http://ktiml.mff.cuni.cz/~obdrzalek/vyuka/NAIL108/

Guarantor:	RNDr. David Obdržálek, Ph.D.
Class:	Informatika Mgr. - Teoretická informatika
Classification:	Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science

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Annotation -

Last update: T_KTI (13.05.2014)

This course concerns on topics specific to mobile robotics. The topics are focused on autonomous devices or SGVs - “Self-Guided Vehicles”: hardware, software, algorithms, and theoretical problems.

Aim of the course -

Last update: RNDr. David Obdržálek, Ph.D. (06.09.2023)

Aim of the course is to introduce students to mobile robotics in practice.

The course will cover practical problems of mobile robotics, it is expected students have experience with ROS (see NAIL112 Middleware for robotics).

Course completion requirements -

Last update: RNDr. Jan Hric (07.06.2019)

TBA

Literature -

Last update: T_KTI (13.05.2014)

R. Siegwart et al.: Introduction to Autonomous Mobile Robots

G. A. Bekey: Autonomous Robots

J. L. Jones et al.: Mobile Robots: Inspiration to Implementation

H. R. Everett. Sensors for Mobile Robots: Theory and Application

Syllabus -

Last update: T_KTI (13.05.2014)

1. Introduction, basic terms

2. Mobile robot types (remotely controlled, autonomous)

3. Input-output systems

4. Control methods and systems

5. Software and algorithms

6. State-of-the-art problems