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Localization, Navigation and Mapping

Type of study Follow-up Master
Language of instruction Czech
Code 354-0644/01
Abbreviation LNaTM
Course title Localization, Navigation and Mapping
Credits 4
Coordinating department Department of Robotics
Course coordinator doc. Ing. Tomáš Kot, Ph.D.

Subject syllabus

1. Basic concepts
2. Sensors in mobile robotics
3. Detection of key features using sensors
4. Map representation
5. Localization - introduction, meaning, uncertainty
6. Localisation methods I
7. Localization methods II
8. Automatic mapping (SLAM)
9. Navigation and trajectory planning
10. Trajectory planning methods I
11. Trajectory planning methods II
12. Trajectory planning methods III
13. Dynamic obstacle avoidance
14. Current trends

Literature

[1] Kolski, S.. Mobile robots: perception & navigation. Mammendorf : Pro literatur, 2007. ISBN: 3-86611-283-1 
[2] Mukhopadhyay, S. C. and Gupta, G. S.. Autonomous robots and agents. Berlin : Springer, 2010. ISBN 978-3-540-73424-6 
[3] Lentin J. Cacace J.. Mastering ROS for robotics programming: design, build, and simulate complex robots using the Robot Operating System. Birmingham : Packt, 2018. ISBN 978-1788478953 
[4] Koubaa, A.. Robot Operating System (ROS) The Complete Reference (Volume 3). s.l. : Springer-Verlag, 2019. ISBN 978-3-319-91590-6 
[5] Koubaa, A.. Robot path planning and cooperation: foundations, algorithms and experimentations. S.l. : SPRINGER, 2019, ISBN 978-3-319-77042-0 

Advised literature

[1] Savkin A., Matveev A., Hoy M., Wang Ch.. Safe robot navigation among moving and steady obstacles. Oxford: Elsevier butterworth-hein, 2016. ISBN: 9780128037300 
[2] Barrera, A.. Mobile robots navigation. SL : Sciyo.com, 2010. ISBN: 978-953-307-076-6 
[3] Fehlman, W. L.. Mobile robot navigation with intelligent infrared image interpretation. Springer, 2014. ISBN 978-1-84882-509-3