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Course, academic year 2018/2019
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Probabilistic Robotics - NAIL101
Title in English: Pravděpodobnostní robotika
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2015 to 2019
Semester: summer
E-Credits: 6
Hours per week, examination: summer s.:2/2 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Additional information:
Guarantor: RNDr. David Obdržálek, Ph.D.
Class: Informatika Mgr. - volitelný
Classification: Informatics > Software Engineering
Annotation -
Last update: T_KSI (13.05.2010)
During its life a robot deals with many problems: It wakes up - without knowing where it is. It is going - without knowing how and where. It is doing - without knowing what and why. These difficulties come from an inaccuracy of sensors and from a complexity of the real world, which cannot be accurately captured by a simple model. Our goal for this class is to familiarize ourselves with various algorithmic methods, which help us with dealing with the uncertainty originating from our and robot's ignorance.
Literature - Czech
Last update: T_KSI (13.05.2010)

S. Thrun, W. Burgard, D. Fox: Probabilistic Robotics, MIT Press, 2005

S. Russel, P. Norvig: Artificial Intelligence: A Modern Approach, 3. vydání, Prentice Hall, 2009 (vybrané kapitoly)

Syllabus -
Last update: T_KSI (13.05.2010)
  • A reminder of probability theory
  • Kalman filters and their variants
  • Particle filters
  • Probabilistic localization and mapping
  • Decisioning and planning under uncertainty

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